r-rseq-seurat.ipynb

{"metadata":{"kernelspec":{"name":"ir","display_name":"R","language":"R"},"language_info":{"name":"R","codemirror_mode":"r","pygments_lexer":"r","mimetype":"text/x-r-source","file_extension":".r","version":"4.0.5"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":6915104,"sourceType":"datasetVersion","datasetId":3970930},{"sourceId":6917302,"sourceType":"datasetVersion","datasetId":3971943}],"dockerImageVersionId":30530,"isInternetEnabled":true,"language":"r","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"\nlibrary(tidyverse) # metapackage of all tidyverse packages\n\n# Input data files are available in the read-only \"../input/\" directory\nlist.files(path = \"../input\")","metadata":{"_uuid":"051d70d956493feee0c6d64651c6a088724dca2a","_execution_state":"idle"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"install.packages('remotes')\n","metadata":{"execution":{"iopub.status.busy":"2023-11-08T00:35:32.377823Z","iopub.execute_input":"2023-11-08T00:35:32.379820Z","iopub.status.idle":"2023-11-08T00:35:45.587574Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stderr","text":"Installing package into ‘/usr/local/lib/R/site-library’\n(as ‘lib’ is unspecified)\n\n","output_type":"stream"}]},{"cell_type":"code","source":"remotes::install_version(package = 'Seurat', version = package_version('2.3.0'))\n","metadata":{"execution":{"iopub.status.busy":"2023-11-08T01:17:52.848539Z","iopub.execute_input":"2023-11-08T01:17:52.850936Z"},"trusted":true},"execution_count":null,"outputs":[{"name":"stderr","text":"Downloading package from url: http://cran.rstudio.com//src/contrib/Archive/Seurat/Seurat_2.3.0.tar.gz\n\n","output_type":"stream"},{"name":"stdout","text":"Rcpp      (1.0.10 -> 1.0.11) [CRAN]\nfs        (1.6.2  -> 1.6.3 ) [CRAN]\nvctrs     (0.6.3  -> 0.6.4 ) [CRAN]\nlifecycle (1.0.3  -> 1.0.4 ) [CRAN]\nrlang     (1.1.1  -> 1.1.2 ) [CRAN]\nutf8      (1.2.3  -> 1.2.4 ) [CRAN]\nfansi     (1.0.4  -> 1.0.5 ) [CRAN]\ndplyr     (1.1.2  -> 1.1.3 ) [CRAN]\nhttr      (1.4.6  -> 1.4.7 ) [CRAN]\nmutoss    (NA     -> 0.1-13) [CRAN]\nmetap     (NA     -> 1.9   ) [CRAN]\nHmisc     (NA     -> 5.1-1 ) [CRAN]\nranger    (NA     -> 0.15.1) [CRAN]\n","output_type":"stream"},{"name":"stderr","text":"Skipping 3 packages not available: multtest, htmlTable, SDMTools\n\nInstalling 15 packages: Rcpp, multtest, fs, vctrs, lifecycle, rlang, utf8, fansi, dplyr, httr, mutoss, metap, Hmisc, SDMTools, ranger\n\nInstalling packages into ‘/usr/local/lib/R/site-library’\n(as ‘lib’ is unspecified)\n\nWarning message:\n“packages ‘multtest’, ‘SDMTools’ are not available for this version of R\n\nVersions of these packages for your version of R might be available elsewhere,\nsee the ideas at\nhttps://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages”\nWarning message:\n“dependency ‘multtest’ is not available”\n","output_type":"stream"}]},{"cell_type":"code","source":"library(Seurat)\nlibrary(Matrix)\n\n# directory containing the matrix, features, and barcodes files\ndata_dir <- \"/kaggle/input/mmmrtx/filtered_feature_bc_matrix/\"\n","metadata":{"execution":{"iopub.status.busy":"2023-11-08T05:57:57.006807Z","iopub.execute_input":"2023-11-08T05:57:57.008567Z","iopub.status.idle":"2023-11-08T05:57:57.026862Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"code","source":"# Reading the matrix file\nmatrix <- readMM(paste0(data_dir, \"matrix.mtx\"))\n","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:00:42.136407Z","iopub.execute_input":"2023-11-08T06:00:42.138113Z","iopub.status.idle":"2023-11-08T06:01:48.411998Z"},"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"code","source":"# Reading the features file with all six columns\nfeatures <- read.delim(paste0(data_dir, \"features.tsv\"), header = FALSE, \n                       col.names = c(\"gene_id\", \"gene_name\", \"type\", \"chr\", \"start\", \"end\"))\n","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:08:05.094741Z","iopub.execute_input":"2023-11-08T06:08:05.096466Z","iopub.status.idle":"2023-11-08T06:08:05.699643Z"},"trusted":true},"execution_count":16,"outputs":[]},{"cell_type":"code","source":"barcodes <- read.delim(paste0(data_dir, \"barcodes.tsv\"),header = FALSE)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:04:57.986757Z","iopub.execute_input":"2023-11-08T06:04:57.988404Z","iopub.status.idle":"2023-11-08T06:04:58.014253Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"code","source":"print(head(features))\n\n","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:08:11.436384Z","iopub.execute_input":"2023-11-08T06:08:11.438072Z","iopub.status.idle":"2023-11-08T06:08:11.456001Z"},"trusted":true},"execution_count":17,"outputs":[{"name":"stdout","text":"          gene_id   gene_name            type  chr  start    end\n1 ENSG00000243485 MIR1302-2HG Gene Expression chr1  29553  30267\n2 ENSG00000237613     FAM138A Gene Expression chr1  36080  36081\n3 ENSG00000186092       OR4F5 Gene Expression chr1  65418  69055\n4 ENSG00000238009  AL627309.1 Gene Expression chr1 120931 133723\n5 ENSG00000239945  AL627309.3 Gene Expression chr1  91104  91105\n6 ENSG00000239906  AL627309.2 Gene Expression chr1 140338 140339\n","output_type":"stream"}]},{"cell_type":"code","source":"# data frame that mirrors the structure of the matrix with gene IDs as row names\ngene_info <- data.frame(genes = features$gene_id)\nrownames(gene_info) <- features$gene_id\n\n# Similarly for barcodes\nbarcode_info <- data.frame(barcodes = barcodes$barcodes)\nrownames(barcode_info) <- barcodes$barcodes\n\n# Ensuring that the matrix has dimnames set\ndimnames(matrix) <- list(rownames(gene_info), rownames(barcode_info))\n\n","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:14:26.836289Z","iopub.execute_input":"2023-11-08T06:14:26.838143Z","iopub.status.idle":"2023-11-08T06:14:26.872774Z"},"trusted":true},"execution_count":22,"outputs":[]},{"cell_type":"code","source":"#  Seurat object\nseurat <- CreateSeuratObject(counts = matrix, project = \"Proj1rna\", min.cells =3, min.features = 200)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:19:03.292736Z","iopub.execute_input":"2023-11-08T06:19:03.297995Z","iopub.status.idle":"2023-11-08T06:19:26.328021Z"},"trusted":true},"execution_count":24,"outputs":[]},{"cell_type":"code","source":"# peak at the S. obj\nstr(seurat)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:19:57.233397Z","iopub.execute_input":"2023-11-08T06:19:57.236022Z","iopub.status.idle":"2023-11-08T06:19:57.297546Z"},"trusted":true},"execution_count":25,"outputs":[{"name":"stdout","text":"Formal class 'Seurat' [package \"SeuratObject\"] with 13 slots\n  ..@ assays      :List of 1\n  .. ..$ RNA:Formal class 'Assay' [package \"SeuratObject\"] with 8 slots\n  .. .. .. ..@ counts       :Formal class 'dgCMatrix' [package \"Matrix\"] with 6 slots\n  .. .. .. .. .. ..@ i       : int [1:113062684] 35 39 75 102 112 146 331 357 374 380 ...\n  .. .. .. .. .. ..@ p       : int [1:10692] 0 6444 15486 26075 28593 35291 44861 72015 85346 95223 ...\n  .. .. .. .. .. ..@ Dim     : int [1:2] 140869 10691\n  .. .. .. .. .. ..@ Dimnames:List of 2\n  .. .. .. .. .. .. ..$ : chr [1:140869] \"ENSG00000238009\" \"ENSG00000241860\" \"ENSG00000241599\" \"ENSG00000229905\" ...\n  .. .. .. .. .. .. ..$ : chr [1:10691] \"AAACAGCCAACAACAA-1\" \"AAACAGCCAAGGACCA-1\" \"AAACAGCCACAATGCC-1\" \"AAACAGCCATGAGCAG-1\" ...\n  .. .. .. .. .. ..@ x       : num [1:113062684] 1 1 1 1 2 1 1 3 1 1 ...\n  .. .. .. .. .. ..@ factors : list()\n  .. .. .. ..@ data         :Formal class 'dgCMatrix' [package \"Matrix\"] with 6 slots\n  .. .. .. .. .. ..@ i       : int [1:113062684] 35 39 75 102 112 146 331 357 374 380 ...\n  .. .. .. .. .. ..@ p       : int [1:10692] 0 6444 15486 26075 28593 35291 44861 72015 85346 95223 ...\n  .. .. .. .. .. ..@ Dim     : int [1:2] 140869 10691\n  .. .. .. .. .. ..@ Dimnames:List of 2\n  .. .. .. .. .. .. ..$ : chr [1:140869] \"ENSG00000238009\" \"ENSG00000241860\" \"ENSG00000241599\" \"ENSG00000229905\" ...\n  .. .. .. .. .. .. ..$ : chr [1:10691] \"AAACAGCCAACAACAA-1\" \"AAACAGCCAAGGACCA-1\" \"AAACAGCCACAATGCC-1\" \"AAACAGCCATGAGCAG-1\" ...\n  .. .. .. .. .. ..@ x       : num [1:113062684] 1 1 1 1 2 1 1 3 1 1 ...\n  .. .. .. .. .. ..@ factors : list()\n  .. .. .. ..@ scale.data   : num[0 , 0 ] \n  .. .. .. ..@ key          : chr \"rna_\"\n  .. .. .. ..@ assay.orig   : NULL\n  .. .. .. ..@ var.features : logi(0) \n  .. .. .. ..@ meta.features:'data.frame':\t140869 obs. of  0 variables\n  .. .. .. ..@ misc         : list()\n  ..@ meta.data   :'data.frame':\t10691 obs. of  3 variables:\n  .. ..$ orig.ident  : Factor w/ 1 level \"Proj1rna\": 1 1 1 1 1 1 1 1 1 1 ...\n  .. ..$ nCount_RNA  : num [1:10691] 15376 21454 27063 4994 14391 ...\n  .. ..$ nFeature_RNA: int [1:10691] 6444 9042 10589 2518 6698 9570 27154 13331 9877 8324 ...\n  ..@ active.assay: chr \"RNA\"\n  ..@ active.ident: Factor w/ 1 level \"Proj1rna\": 1 1 1 1 1 1 1 1 1 1 ...\n  .. ..- attr(*, \"names\")= chr [1:10691] \"AAACAGCCAACAACAA-1\" \"AAACAGCCAAGGACCA-1\" \"AAACAGCCACAATGCC-1\" \"AAACAGCCATGAGCAG-1\" ...\n  ..@ graphs      : list()\n  ..@ neighbors   : list()\n  ..@ reductions  : list()\n  ..@ images      : list()\n  ..@ project.name: chr \"Proj1rna\"\n  ..@ misc        : list()\n  ..@ version     :Classes 'package_version', 'numeric_version'  hidden list of 1\n  .. ..$ : int [1:3] 4 1 3\n  ..@ commands    : list()\n  ..@ tools       : list()\n","output_type":"stream"}]},{"cell_type":"code","source":"## Quality Control\n\n\nseurat[[\"percent.mt\"]] <- PercentageFeatureSet(seurat, pattern = \"^MT-\")\nView(seurat@meta.data)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:23:28.261753Z","iopub.execute_input":"2023-11-08T06:23:28.263835Z","iopub.status.idle":"2023-11-08T06:23:28.715118Z"},"trusted":true},"execution_count":26,"outputs":[{"output_type":"display_data","data":{"text/plain":"                   orig.ident nCount_RNA nFeature_RNA percent.mt\nAAACAGCCAACAACAA-1 Proj1rna   15376       6444        0         \nAAACAGCCAAGGACCA-1 Proj1rna   21454       9042        0         \nAAACAGCCACAATGCC-1 Proj1rna   27063      10589        0         \nAAACAGCCATGAGCAG-1 Proj1rna    4994       2518        0         \nAAACATGCAAGATTCT-1 Proj1rna   14391       6698        0         \nAAACATGCACAACAAA-1 Proj1rna   23796       9570        0         \nAAACATGCACAACCTA-1 Proj1rna   81872      27154        0         \nAAACATGCAGCGCTTG-1 Proj1rna   32301      13331        0         \nAAACATGCAGGAAGCC-1 Proj1rna   24248       9877        0         \nAAACATGCAGTTTGGC-1 Proj1rna   17392       8324        0         \nAAACATGCATGCATAT-1 Proj1rna    3574       1910        0         \nAAACATGCATTCCTGT-1 Proj1rna    4205       2235        0         \nAAACATGCATTGACAT-1 Proj1rna   71095      23779        0         \nAAACCAACAAATATCC-1 Proj1rna    8841       4359        0         \nAAACCAACAATCCTAG-1 Proj1rna   16048       7032        0         \nAAACCAACACCTCACC-1 Proj1rna   27414      11130        0         \nAAACCAACACGCAACT-1 Proj1rna    6382       3311        0         \nAAACCAACAGCATGAG-1 Proj1rna   18773       7383        0         \nAAACCAACATACTCCT-1 Proj1rna   14182       6543        0         \nAAACCAACATATAACC-1 Proj1rna   38654      15576        0         \nAAACCAACATTAGCGC-1 Proj1rna   26402      10335        0         \nAAACCAACATTAGGCC-1 Proj1rna   25119      10234        0         \nAAACCGAAGCCTGAGC-1 Proj1rna   49122      18809        0         \nAAACCGAAGTAACTCA-1 Proj1rna   28926      10965        0         \nAAACCGAAGTGGCGGA-1 Proj1rna   36888      14686        0         \nAAACCGAAGTTAGACC-1 Proj1rna   21500       8605        0         \nAAACCGCGTAGGTTGC-1 Proj1rna   29490      10969        0         \nAAACCGCGTCACGAAC-1 Proj1rna   22904       9112        0         \nAAACCGCGTCCTTAGT-1 Proj1rna   31565      13038        0         \nAAACCGCGTCGTAATG-1 Proj1rna   28773      11706        0         \n⋮                  ⋮          ⋮          ⋮            ⋮         \nTTTGTCCCAGGACCAA-1 Proj1rna   33579      14042        0         \nTTTGTCCCATACCCGG-1 Proj1rna   18511       8012        0         \nTTTGTCCCATCCATCT-1 Proj1rna   17809       7797        0         \nTTTGTCCCATGCATAT-1 Proj1rna   24011       9634        0         \nTTTGTCTAGACTTACA-1 Proj1rna   26742      10684        0         \nTTTGTCTAGCCTCTGT-1 Proj1rna   28868      12173        0         \nTTTGTCTAGGCAGGTG-1 Proj1rna   30599      11867        0         \nTTTGTCTAGGTAACGA-1 Proj1rna   30497      10913        0         \nTTTGTCTAGGTAAGCA-1 Proj1rna   32707      12347        0         \nTTTGTCTAGTGTTGTA-1 Proj1rna   13808       5706        0         \nTTTGTGAAGAGAGGCT-1 Proj1rna   58249      18317        0         \nTTTGTGAAGCAAGACA-1 Proj1rna   25056      10267        0         \nTTTGTGAAGCATTTCT-1 Proj1rna   30974      12108        0         \nTTTGTGAAGCTATGAC-1 Proj1rna   44213      14595        0         \nTTTGTGAAGTAAAGGT-1 Proj1rna   22539       9429        0         \nTTTGTGAAGTGAACGA-1 Proj1rna   26447      10095        0         \nTTTGTGAAGTTGCCTC-1 Proj1rna   25222      10398        0         \nTTTGTGGCAATTAACC-1 Proj1rna   20452       7838        0         \nTTTGTGGCACGAACAG-1 Proj1rna   36973      13348        0         \nTTTGTGGCACGAATTT-1 Proj1rna   11117       4536        0         \nTTTGTGGCAGTTTGTG-1 Proj1rna   27472      11001        0         \nTTTGTGGCATGTCAGC-1 Proj1rna   27998      11508        0         \nTTTGTGGCATTAAACC-1 Proj1rna   24845       9781        0         \nTTTGTGGCATTAGGTT-1 Proj1rna   21665       8955        0         \nTTTGTGGCATTGCGTA-1 Proj1rna   21585       8724        0         \nTTTGTGTTCAAGCGCC-1 Proj1rna   21046       8884        0         \nTTTGTGTTCGTTTCCA-1 Proj1rna   32146      13665        0         \nTTTGTTGGTACCCACC-1 Proj1rna   25927      10333        0         \nTTTGTTGGTACCGAAC-1 Proj1rna   29645      12321        0         \nTTTGTTGGTAGGATTT-1 Proj1rna    8146       3869        0         ","text/html":"<table class=\"dataframe\">\n<caption>A data.frame: 10691 × 4</caption>\n<thead>\n\t<tr><th></th><th scope=col>orig.ident</th><th scope=col>nCount_RNA</th><th scope=col>nFeature_RNA</th><th scope=col>percent.mt</th></tr>\n\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><th scope=row>AAACAGCCAACAACAA-1</th><td>Proj1rna</td><td>15376</td><td> 6444</td><td>0</td></tr>\n\t<tr><th scope=row>AAACAGCCAAGGACCA-1</th><td>Proj1rna</td><td>21454</td><td> 9042</td><td>0</td></tr>\n\t<tr><th scope=row>AAACAGCCACAATGCC-1</th><td>Proj1rna</td><td>27063</td><td>10589</td><td>0</td></tr>\n\t<tr><th scope=row>AAACAGCCATGAGCAG-1</th><td>Proj1rna</td><td> 4994</td><td> 2518</td><td>0</td></tr>\n\t<tr><th scope=row>AAACATGCAAGATTCT-1</th><td>Proj1rna</td><td>14391</td><td> 6698</td><td>0</td></tr>\n\t<tr><th scope=row>AAACATGCACAACAAA-1</th><td>Proj1rna</td><td>23796</td><td> 9570</td><td>0</td></tr>\n\t<tr><th scope=row>AAACATGCACAACCTA-1</th><td>Proj1rna</td><td>81872</td><td>27154</td><td>0</td></tr>\n\t<tr><th scope=row>AAACATGCAGCGCTTG-1</th><td>Proj1rna</td><td>32301</td><td>13331</td><td>0</td></tr>\n\t<tr><th scope=row>AAACATGCAGGAAGCC-1</th><td>Proj1rna</td><td>24248</td><td> 9877</td><td>0</td></tr>\n\t<tr><th scope=row>AAACATGCAGTTTGGC-1</th><td>Proj1rna</td><td>17392</td><td> 8324</td><td>0</td></tr>\n\t<tr><th scope=row>AAACATGCATGCATAT-1</th><td>Proj1rna</td><td> 3574</td><td> 1910</td><td>0</td></tr>\n\t<tr><th scope=row>AAACATGCATTCCTGT-1</th><td>Proj1rna</td><td> 4205</td><td> 2235</td><td>0</td></tr>\n\t<tr><th scope=row>AAACATGCATTGACAT-1</th><td>Proj1rna</td><td>71095</td><td>23779</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCAACAAATATCC-1</th><td>Proj1rna</td><td> 8841</td><td> 4359</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCAACAATCCTAG-1</th><td>Proj1rna</td><td>16048</td><td> 7032</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCAACACCTCACC-1</th><td>Proj1rna</td><td>27414</td><td>11130</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCAACACGCAACT-1</th><td>Proj1rna</td><td> 6382</td><td> 3311</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCAACAGCATGAG-1</th><td>Proj1rna</td><td>18773</td><td> 7383</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCAACATACTCCT-1</th><td>Proj1rna</td><td>14182</td><td> 6543</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCAACATATAACC-1</th><td>Proj1rna</td><td>38654</td><td>15576</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCAACATTAGCGC-1</th><td>Proj1rna</td><td>26402</td><td>10335</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCAACATTAGGCC-1</th><td>Proj1rna</td><td>25119</td><td>10234</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCGAAGCCTGAGC-1</th><td>Proj1rna</td><td>49122</td><td>18809</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCGAAGTAACTCA-1</th><td>Proj1rna</td><td>28926</td><td>10965</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCGAAGTGGCGGA-1</th><td>Proj1rna</td><td>36888</td><td>14686</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCGAAGTTAGACC-1</th><td>Proj1rna</td><td>21500</td><td> 8605</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCGCGTAGGTTGC-1</th><td>Proj1rna</td><td>29490</td><td>10969</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCGCGTCACGAAC-1</th><td>Proj1rna</td><td>22904</td><td> 9112</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCGCGTCCTTAGT-1</th><td>Proj1rna</td><td>31565</td><td>13038</td><td>0</td></tr>\n\t<tr><th scope=row>AAACCGCGTCGTAATG-1</th><td>Proj1rna</td><td>28773</td><td>11706</td><td>0</td></tr>\n\t<tr><th scope=row>⋮</th><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n\t<tr><th scope=row>TTTGTCCCAGGACCAA-1</th><td>Proj1rna</td><td>33579</td><td>14042</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTCCCATACCCGG-1</th><td>Proj1rna</td><td>18511</td><td> 8012</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTCCCATCCATCT-1</th><td>Proj1rna</td><td>17809</td><td> 7797</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTCCCATGCATAT-1</th><td>Proj1rna</td><td>24011</td><td> 9634</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTCTAGACTTACA-1</th><td>Proj1rna</td><td>26742</td><td>10684</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTCTAGCCTCTGT-1</th><td>Proj1rna</td><td>28868</td><td>12173</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTCTAGGCAGGTG-1</th><td>Proj1rna</td><td>30599</td><td>11867</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTCTAGGTAACGA-1</th><td>Proj1rna</td><td>30497</td><td>10913</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTCTAGGTAAGCA-1</th><td>Proj1rna</td><td>32707</td><td>12347</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTCTAGTGTTGTA-1</th><td>Proj1rna</td><td>13808</td><td> 5706</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGAAGAGAGGCT-1</th><td>Proj1rna</td><td>58249</td><td>18317</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGAAGCAAGACA-1</th><td>Proj1rna</td><td>25056</td><td>10267</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGAAGCATTTCT-1</th><td>Proj1rna</td><td>30974</td><td>12108</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGAAGCTATGAC-1</th><td>Proj1rna</td><td>44213</td><td>14595</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGAAGTAAAGGT-1</th><td>Proj1rna</td><td>22539</td><td> 9429</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGAAGTGAACGA-1</th><td>Proj1rna</td><td>26447</td><td>10095</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGAAGTTGCCTC-1</th><td>Proj1rna</td><td>25222</td><td>10398</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGGCAATTAACC-1</th><td>Proj1rna</td><td>20452</td><td> 7838</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGGCACGAACAG-1</th><td>Proj1rna</td><td>36973</td><td>13348</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGGCACGAATTT-1</th><td>Proj1rna</td><td>11117</td><td> 4536</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGGCAGTTTGTG-1</th><td>Proj1rna</td><td>27472</td><td>11001</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGGCATGTCAGC-1</th><td>Proj1rna</td><td>27998</td><td>11508</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGGCATTAAACC-1</th><td>Proj1rna</td><td>24845</td><td> 9781</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGGCATTAGGTT-1</th><td>Proj1rna</td><td>21665</td><td> 8955</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGGCATTGCGTA-1</th><td>Proj1rna</td><td>21585</td><td> 8724</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGTTCAAGCGCC-1</th><td>Proj1rna</td><td>21046</td><td> 8884</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTGTTCGTTTCCA-1</th><td>Proj1rna</td><td>32146</td><td>13665</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTTGGTACCCACC-1</th><td>Proj1rna</td><td>25927</td><td>10333</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTTGGTACCGAAC-1</th><td>Proj1rna</td><td>29645</td><td>12321</td><td>0</td></tr>\n\t<tr><th scope=row>TTTGTTGGTAGGATTT-1</th><td>Proj1rna</td><td> 8146</td><td> 3869</td><td>0</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA data.frame: 10691 × 4\n\n| <!--/--> | orig.ident &lt;fct&gt; | nCount_RNA &lt;dbl&gt; | nFeature_RNA &lt;int&gt; | percent.mt &lt;dbl&gt; |\n|---|---|---|---|---|\n| AAACAGCCAACAACAA-1 | Proj1rna | 15376 |  6444 | 0 |\n| AAACAGCCAAGGACCA-1 | Proj1rna | 21454 |  9042 | 0 |\n| AAACAGCCACAATGCC-1 | Proj1rna | 27063 | 10589 | 0 |\n| AAACAGCCATGAGCAG-1 | Proj1rna |  4994 |  2518 | 0 |\n| AAACATGCAAGATTCT-1 | Proj1rna | 14391 |  6698 | 0 |\n| AAACATGCACAACAAA-1 | Proj1rna | 23796 |  9570 | 0 |\n| AAACATGCACAACCTA-1 | Proj1rna | 81872 | 27154 | 0 |\n| AAACATGCAGCGCTTG-1 | Proj1rna | 32301 | 13331 | 0 |\n| AAACATGCAGGAAGCC-1 | Proj1rna | 24248 |  9877 | 0 |\n| AAACATGCAGTTTGGC-1 | Proj1rna | 17392 |  8324 | 0 |\n| AAACATGCATGCATAT-1 | Proj1rna |  3574 |  1910 | 0 |\n| AAACATGCATTCCTGT-1 | Proj1rna |  4205 |  2235 | 0 |\n| AAACATGCATTGACAT-1 | Proj1rna | 71095 | 23779 | 0 |\n| AAACCAACAAATATCC-1 | Proj1rna |  8841 |  4359 | 0 |\n| AAACCAACAATCCTAG-1 | Proj1rna | 16048 |  7032 | 0 |\n| AAACCAACACCTCACC-1 | Proj1rna | 27414 | 11130 | 0 |\n| AAACCAACACGCAACT-1 | Proj1rna |  6382 |  3311 | 0 |\n| AAACCAACAGCATGAG-1 | Proj1rna | 18773 |  7383 | 0 |\n| AAACCAACATACTCCT-1 | Proj1rna | 14182 |  6543 | 0 |\n| AAACCAACATATAACC-1 | Proj1rna | 38654 | 15576 | 0 |\n| AAACCAACATTAGCGC-1 | Proj1rna | 26402 | 10335 | 0 |\n| AAACCAACATTAGGCC-1 | Proj1rna | 25119 | 10234 | 0 |\n| AAACCGAAGCCTGAGC-1 | Proj1rna | 49122 | 18809 | 0 |\n| AAACCGAAGTAACTCA-1 | Proj1rna | 28926 | 10965 | 0 |\n| AAACCGAAGTGGCGGA-1 | Proj1rna | 36888 | 14686 | 0 |\n| AAACCGAAGTTAGACC-1 | Proj1rna | 21500 |  8605 | 0 |\n| AAACCGCGTAGGTTGC-1 | Proj1rna | 29490 | 10969 | 0 |\n| AAACCGCGTCACGAAC-1 | Proj1rna | 22904 |  9112 | 0 |\n| AAACCGCGTCCTTAGT-1 | Proj1rna | 31565 | 13038 | 0 |\n| AAACCGCGTCGTAATG-1 | Proj1rna | 28773 | 11706 | 0 |\n| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n| TTTGTCCCAGGACCAA-1 | Proj1rna | 33579 | 14042 | 0 |\n| TTTGTCCCATACCCGG-1 | Proj1rna | 18511 |  8012 | 0 |\n| TTTGTCCCATCCATCT-1 | Proj1rna | 17809 |  7797 | 0 |\n| TTTGTCCCATGCATAT-1 | Proj1rna | 24011 |  9634 | 0 |\n| TTTGTCTAGACTTACA-1 | Proj1rna | 26742 | 10684 | 0 |\n| TTTGTCTAGCCTCTGT-1 | Proj1rna | 28868 | 12173 | 0 |\n| TTTGTCTAGGCAGGTG-1 | Proj1rna | 30599 | 11867 | 0 |\n| TTTGTCTAGGTAACGA-1 | Proj1rna | 30497 | 10913 | 0 |\n| TTTGTCTAGGTAAGCA-1 | Proj1rna | 32707 | 12347 | 0 |\n| TTTGTCTAGTGTTGTA-1 | Proj1rna | 13808 |  5706 | 0 |\n| TTTGTGAAGAGAGGCT-1 | Proj1rna | 58249 | 18317 | 0 |\n| TTTGTGAAGCAAGACA-1 | Proj1rna | 25056 | 10267 | 0 |\n| TTTGTGAAGCATTTCT-1 | Proj1rna | 30974 | 12108 | 0 |\n| TTTGTGAAGCTATGAC-1 | Proj1rna | 44213 | 14595 | 0 |\n| TTTGTGAAGTAAAGGT-1 | Proj1rna | 22539 |  9429 | 0 |\n| TTTGTGAAGTGAACGA-1 | Proj1rna | 26447 | 10095 | 0 |\n| TTTGTGAAGTTGCCTC-1 | Proj1rna | 25222 | 10398 | 0 |\n| TTTGTGGCAATTAACC-1 | Proj1rna | 20452 |  7838 | 0 |\n| TTTGTGGCACGAACAG-1 | Proj1rna | 36973 | 13348 | 0 |\n| TTTGTGGCACGAATTT-1 | Proj1rna | 11117 |  4536 | 0 |\n| TTTGTGGCAGTTTGTG-1 | Proj1rna | 27472 | 11001 | 0 |\n| TTTGTGGCATGTCAGC-1 | Proj1rna | 27998 | 11508 | 0 |\n| TTTGTGGCATTAAACC-1 | Proj1rna | 24845 |  9781 | 0 |\n| TTTGTGGCATTAGGTT-1 | Proj1rna | 21665 |  8955 | 0 |\n| TTTGTGGCATTGCGTA-1 | Proj1rna | 21585 |  8724 | 0 |\n| TTTGTGTTCAAGCGCC-1 | Proj1rna | 21046 |  8884 | 0 |\n| TTTGTGTTCGTTTCCA-1 | Proj1rna | 32146 | 13665 | 0 |\n| TTTGTTGGTACCCACC-1 | Proj1rna | 25927 | 10333 | 0 |\n| TTTGTTGGTACCGAAC-1 | Proj1rna | 29645 | 12321 | 0 |\n| TTTGTTGGTAGGATTT-1 | Proj1rna |  8146 |  3869 | 0 |\n\n","text/latex":"A data.frame: 10691 × 4\n\\begin{tabular}{r|llll}\n  & orig.ident & nCount\\_RNA & nFeature\\_RNA & percent.mt\\\\\n  & <fct> & <dbl> & <int> & <dbl>\\\\\n\\hline\n\tAAACAGCCAACAACAA-1 & Proj1rna & 15376 &  6444 & 0\\\\\n\tAAACAGCCAAGGACCA-1 & Proj1rna & 21454 &  9042 & 0\\\\\n\tAAACAGCCACAATGCC-1 & Proj1rna & 27063 & 10589 & 0\\\\\n\tAAACAGCCATGAGCAG-1 & Proj1rna &  4994 &  2518 & 0\\\\\n\tAAACATGCAAGATTCT-1 & Proj1rna & 14391 &  6698 & 0\\\\\n\tAAACATGCACAACAAA-1 & Proj1rna & 23796 &  9570 & 0\\\\\n\tAAACATGCACAACCTA-1 & Proj1rna & 81872 & 27154 & 0\\\\\n\tAAACATGCAGCGCTTG-1 & Proj1rna & 32301 & 13331 & 0\\\\\n\tAAACATGCAGGAAGCC-1 & Proj1rna & 24248 &  9877 & 0\\\\\n\tAAACATGCAGTTTGGC-1 & Proj1rna & 17392 &  8324 & 0\\\\\n\tAAACATGCATGCATAT-1 & Proj1rna &  3574 &  1910 & 0\\\\\n\tAAACATGCATTCCTGT-1 & Proj1rna &  4205 &  2235 & 0\\\\\n\tAAACATGCATTGACAT-1 & Proj1rna & 71095 & 23779 & 0\\\\\n\tAAACCAACAAATATCC-1 & Proj1rna &  8841 &  4359 & 0\\\\\n\tAAACCAACAATCCTAG-1 & Proj1rna & 16048 &  7032 & 0\\\\\n\tAAACCAACACCTCACC-1 & Proj1rna & 27414 & 11130 & 0\\\\\n\tAAACCAACACGCAACT-1 & Proj1rna &  6382 &  3311 & 0\\\\\n\tAAACCAACAGCATGAG-1 & Proj1rna & 18773 &  7383 & 0\\\\\n\tAAACCAACATACTCCT-1 & Proj1rna & 14182 &  6543 & 0\\\\\n\tAAACCAACATATAACC-1 & Proj1rna & 38654 & 15576 & 0\\\\\n\tAAACCAACATTAGCGC-1 & Proj1rna & 26402 & 10335 & 0\\\\\n\tAAACCAACATTAGGCC-1 & Proj1rna & 25119 & 10234 & 0\\\\\n\tAAACCGAAGCCTGAGC-1 & Proj1rna & 49122 & 18809 & 0\\\\\n\tAAACCGAAGTAACTCA-1 & Proj1rna & 28926 & 10965 & 0\\\\\n\tAAACCGAAGTGGCGGA-1 & Proj1rna & 36888 & 14686 & 0\\\\\n\tAAACCGAAGTTAGACC-1 & Proj1rna & 21500 &  8605 & 0\\\\\n\tAAACCGCGTAGGTTGC-1 & Proj1rna & 29490 & 10969 & 0\\\\\n\tAAACCGCGTCACGAAC-1 & Proj1rna & 22904 &  9112 & 0\\\\\n\tAAACCGCGTCCTTAGT-1 & Proj1rna & 31565 & 13038 & 0\\\\\n\tAAACCGCGTCGTAATG-1 & Proj1rna & 28773 & 11706 & 0\\\\\n\t⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n\tTTTGTCCCAGGACCAA-1 & Proj1rna & 33579 & 14042 & 0\\\\\n\tTTTGTCCCATACCCGG-1 & Proj1rna & 18511 &  8012 & 0\\\\\n\tTTTGTCCCATCCATCT-1 & Proj1rna & 17809 &  7797 & 0\\\\\n\tTTTGTCCCATGCATAT-1 & Proj1rna & 24011 &  9634 & 0\\\\\n\tTTTGTCTAGACTTACA-1 & Proj1rna & 26742 & 10684 & 0\\\\\n\tTTTGTCTAGCCTCTGT-1 & Proj1rna & 28868 & 12173 & 0\\\\\n\tTTTGTCTAGGCAGGTG-1 & Proj1rna & 30599 & 11867 & 0\\\\\n\tTTTGTCTAGGTAACGA-1 & Proj1rna & 30497 & 10913 & 0\\\\\n\tTTTGTCTAGGTAAGCA-1 & Proj1rna & 32707 & 12347 & 0\\\\\n\tTTTGTCTAGTGTTGTA-1 & Proj1rna & 13808 &  5706 & 0\\\\\n\tTTTGTGAAGAGAGGCT-1 & Proj1rna & 58249 & 18317 & 0\\\\\n\tTTTGTGAAGCAAGACA-1 & Proj1rna & 25056 & 10267 & 0\\\\\n\tTTTGTGAAGCATTTCT-1 & Proj1rna & 30974 & 12108 & 0\\\\\n\tTTTGTGAAGCTATGAC-1 & Proj1rna & 44213 & 14595 & 0\\\\\n\tTTTGTGAAGTAAAGGT-1 & Proj1rna & 22539 &  9429 & 0\\\\\n\tTTTGTGAAGTGAACGA-1 & Proj1rna & 26447 & 10095 & 0\\\\\n\tTTTGTGAAGTTGCCTC-1 & Proj1rna & 25222 & 10398 & 0\\\\\n\tTTTGTGGCAATTAACC-1 & Proj1rna & 20452 &  7838 & 0\\\\\n\tTTTGTGGCACGAACAG-1 & Proj1rna & 36973 & 13348 & 0\\\\\n\tTTTGTGGCACGAATTT-1 & Proj1rna & 11117 &  4536 & 0\\\\\n\tTTTGTGGCAGTTTGTG-1 & Proj1rna & 27472 & 11001 & 0\\\\\n\tTTTGTGGCATGTCAGC-1 & Proj1rna & 27998 & 11508 & 0\\\\\n\tTTTGTGGCATTAAACC-1 & Proj1rna & 24845 &  9781 & 0\\\\\n\tTTTGTGGCATTAGGTT-1 & Proj1rna & 21665 &  8955 & 0\\\\\n\tTTTGTGGCATTGCGTA-1 & Proj1rna & 21585 &  8724 & 0\\\\\n\tTTTGTGTTCAAGCGCC-1 & Proj1rna & 21046 &  8884 & 0\\\\\n\tTTTGTGTTCGTTTCCA-1 & Proj1rna & 32146 & 13665 & 0\\\\\n\tTTTGTTGGTACCCACC-1 & Proj1rna & 25927 & 10333 & 0\\\\\n\tTTTGTTGGTACCGAAC-1 & Proj1rna & 29645 & 12321 & 0\\\\\n\tTTTGTTGGTAGGATTT-1 & Proj1rna &  8146 &  3869 & 0\\\\\n\\end{tabular}\n"},"metadata":{}}]},{"cell_type":"code","source":"# Vln plot\n\nVlnPlot(seurat, features = c(\"nCount_RNA\", \"nFeature_RNA\"), ncol = 2)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:28:21.892165Z","iopub.execute_input":"2023-11-08T06:28:21.893978Z","iopub.status.idle":"2023-11-08T06:28:23.574545Z"},"trusted":true},"execution_count":28,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nXLh15KYAbdYFWU3mzJIva/9r4asvD5316+G/b8T+9dOKiGaN+ptmaYUQN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MEOAABAIQh2AAA4DS6egHUEOwAAAIUg2EH5JEnKtQAAgCIR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\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9L8fBGQns9+BQAwFWrZ6ukeePRk11+P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fedpj8XkzRuHCN2t+cd9cSx7550+xbhZW7nXr2kvFLfrPzJIr20za/UNzuwocGk8Q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\nHQAAAACAkYDADgAAAADASPwfTGnPf1zlu70AAAAASUVORK5CYII="},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"code","source":"# Now, visaulization of the nr od Molecules\n\nlibrary(ggplot2)\n\nFeatureScatter(seurat, feature1 = \"nCount_RNA\", feature2= \"nFeature_RNA\") +\n    geom_smooth(method = 'lm')","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:32:06.393003Z","iopub.execute_input":"2023-11-08T06:32:06.398645Z","iopub.status.idle":"2023-11-08T06:32:08.118112Z"},"trusted":true},"execution_count":30,"outputs":[{"name":"stderr","text":"\u001b[1m\u001b[22m`geom_smooth()` using formula = 'y ~ x'\n","output_type":"stream"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nnfbjLt0bd8sGaudmRsWBK6LYAQDgBn7eo33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k2aCk6NU7r1qzs8BZGwEAZLFyc9ZW17im9HvaoDSAR3P1YidiFhFbYlyWaUq8TUTWn08U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\nAAAAEoHCDgAAAEAiUNgBAAAASMT/A/9w1cpOkJm0AAAAAElFTkSuQmCC"},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"code","source":"#  Filtering\n\n\nseurat <- subset(seurat, subset = nFeature_RNA > 200 & nFeature_RNA < 2500)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:35:36.723788Z","iopub.execute_input":"2023-11-08T06:35:36.725592Z","iopub.status.idle":"2023-11-08T06:35:37.685803Z"},"trusted":true},"execution_count":31,"outputs":[]},{"cell_type":"code","source":"seurat","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:36:10.386216Z","iopub.execute_input":"2023-11-08T06:36:10.389128Z","iopub.status.idle":"2023-11-08T06:36:10.427875Z"},"trusted":true},"execution_count":32,"outputs":[{"output_type":"display_data","data":{"text/plain":"An object of class Seurat \n140869 features across 508 samples within 1 assay \nActive assay: RNA (140869 features, 0 variable features)"},"metadata":{}}]},{"cell_type":"code","source":"# Normalize\n\nseurat <- NormalizeData(seurat)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:37:13.976433Z","iopub.execute_input":"2023-11-08T06:37:13.979910Z","iopub.status.idle":"2023-11-08T06:37:14.487388Z"},"trusted":true},"execution_count":33,"outputs":[]},{"cell_type":"code","source":"str(seurat)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:37:55.157944Z","iopub.execute_input":"2023-11-08T06:37:55.161360Z","iopub.status.idle":"2023-11-08T06:37:55.250052Z"},"trusted":true},"execution_count":34,"outputs":[{"name":"stdout","text":"Formal class 'Seurat' [package \"SeuratObject\"] with 13 slots\n  ..@ assays      :List of 1\n  .. ..$ RNA:Formal class 'Assay' [package \"SeuratObject\"] with 8 slots\n  .. .. .. ..@ counts       :Formal class 'dgCMatrix' [package \"Matrix\"] with 6 slots\n  .. .. .. .. .. ..@ i       : int [1:954231] 223 317 357 413 436 493 649 874 1119 1120 ...\n  .. .. .. .. .. ..@ p       : int [1:509] 0 1910 4145 6388 8729 9861 11463 13174 14882 17146 ...\n  .. .. .. .. .. ..@ Dim     : int [1:2] 140869 508\n  .. .. .. .. .. ..@ Dimnames:List of 2\n  .. .. .. .. .. .. ..$ : chr [1:140869] \"ENSG00000238009\" \"ENSG00000241860\" \"ENSG00000241599\" \"ENSG00000229905\" ...\n  .. .. .. .. .. .. ..$ : chr [1:508] \"AAACATGCATGCATAT-1\" \"AAACATGCATTCCTGT-1\" \"AAACGCGCAGCGCTTG-1\" \"AAACGCGCATTATGGT-1\" ...\n  .. .. .. .. .. ..@ x       : num [1:954231] 1 1 1 2 1 1 1 1 1 1 ...\n  .. .. .. .. .. ..@ factors : list()\n  .. .. .. ..@ data         :Formal class 'dgCMatrix' [package \"Matrix\"] with 6 slots\n  .. .. .. .. .. ..@ i       : int [1:954231] 223 317 357 413 436 493 649 874 1119 1120 ...\n  .. .. .. .. .. ..@ p       : int [1:509] 0 1910 4145 6388 8729 9861 11463 13174 14882 17146 ...\n  .. .. .. .. .. ..@ Dim     : int [1:2] 140869 508\n  .. .. .. .. .. ..@ Dimnames:List of 2\n  .. .. .. .. .. .. ..$ : chr [1:140869] \"ENSG00000238009\" \"ENSG00000241860\" \"ENSG00000241599\" \"ENSG00000229905\" ...\n  .. .. .. .. .. .. ..$ : chr [1:508] \"AAACATGCATGCATAT-1\" \"AAACATGCATTCCTGT-1\" \"AAACGCGCAGCGCTTG-1\" \"AAACGCGCATTATGGT-1\" ...\n  .. .. .. .. .. ..@ x       : num [1:954231] 1.33 1.33 1.33 1.89 1.33 ...\n  .. .. .. .. .. ..@ factors : list()\n  .. .. .. ..@ scale.data   : num[0 , 0 ] \n  .. .. .. ..@ key          : chr \"rna_\"\n  .. .. .. ..@ assay.orig   : NULL\n  .. .. .. ..@ var.features : chr(0) \n  .. .. .. ..@ meta.features:'data.frame':\t140869 obs. of  0 variables\n  .. .. .. ..@ misc         : list()\n  ..@ meta.data   :'data.frame':\t508 obs. of  4 variables:\n  .. ..$ orig.ident  : Factor w/ 1 level \"Proj1rna\": 1 1 1 1 1 1 1 1 1 1 ...\n  .. ..$ nCount_RNA  : num [1:508] 3574 4205 4232 4622 1827 ...\n  .. ..$ nFeature_RNA: int [1:508] 1910 2235 2243 2341 1132 1602 1711 1708 2264 1223 ...\n  .. ..$ percent.mt  : num [1:508] 0 0 0 0 0 0 0 0 0 0 ...\n  ..@ active.assay: chr \"RNA\"\n  ..@ active.ident: Factor w/ 1 level \"Proj1rna\": 1 1 1 1 1 1 1 1 1 1 ...\n  .. ..- attr(*, \"names\")= chr [1:508] \"AAACATGCATGCATAT-1\" \"AAACATGCATTCCTGT-1\" \"AAACGCGCAGCGCTTG-1\" \"AAACGCGCATTATGGT-1\" ...\n  ..@ graphs      : list()\n  ..@ neighbors   : list()\n  ..@ reductions  : list()\n  ..@ images      : list()\n  ..@ project.name: chr \"Proj1rna\"\n  ..@ misc        : list()\n  ..@ version     :Classes 'package_version', 'numeric_version'  hidden list of 1\n  .. ..$ : int [1:3] 4 1 3\n  ..@ commands    :List of 1\n  .. ..$ NormalizeData.RNA:Formal class 'SeuratCommand' [package \"SeuratObject\"] with 5 slots\n  .. .. .. ..@ name       : chr \"NormalizeData.RNA\"\n  .. .. .. ..@ time.stamp : POSIXct[1:1], format: \"2023-11-08 06:37:14\"\n  .. .. .. ..@ assay.used : chr \"RNA\"\n  .. .. .. ..@ call.string: chr \"NormalizeData(seurat)\"\n  .. .. .. ..@ params     :List of 5\n  .. .. .. .. ..$ assay               : chr \"RNA\"\n  .. .. .. .. ..$ normalization.method: chr \"LogNormalize\"\n  .. .. .. .. ..$ scale.factor        : num 10000\n  .. .. .. .. ..$ margin              : num 1\n  .. .. .. .. ..$ verbose             : logi TRUE\n  ..@ tools       : list()\n","output_type":"stream"}]},{"cell_type":"code","source":"#  Identifying highly variable features ---\n\n\nseurat <- FindVariableFeatures(seurat, selection.method = \"vst\", nfeatures = 2000)\n\n","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:40:33.814258Z","iopub.execute_input":"2023-11-08T06:40:33.816471Z","iopub.status.idle":"2023-11-08T06:40:55.741921Z"},"trusted":true},"execution_count":35,"outputs":[{"name":"stderr","text":"Warning message in simpleLoess(y, x, w, span, degree = degree, parametric = parametric, :\n“pseudoinverse used at -2.7278”\nWarning message in simpleLoess(y, x, w, span, degree = degree, parametric = parametric, :\n“neighborhood radius 0.32298”\nWarning message in simpleLoess(y, x, w, span, degree = degree, parametric = parametric, :\n“reciprocal condition number  0”\nWarning message in simpleLoess(y, x, w, span, degree = degree, parametric = parametric, :\n“There are other near singularities as well. 0.090619”\n","output_type":"stream"}]},{"cell_type":"code","source":"# identify the 10 most highy variable genes\n\ntop10 <- head(VariableFeatures(seurat), 10)\n\ntop10","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:42:50.113967Z","iopub.execute_input":"2023-11-08T06:42:50.116121Z","iopub.status.idle":"2023-11-08T06:42:50.148956Z"},"trusted":true},"execution_count":38,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>'ENSG00000115523'</li><li>'ENSG00000211592'</li><li>'ENSG00000211899'</li><li>'ENSG00000090382'</li><li>'ENSG00000144218'</li><li>'ENSG00000019582'</li><li>'ENSG00000105835'</li><li>'ENSG00000124882'</li><li>'ENSG00000153064'</li><li>'chr3:93470134-93471048'</li></ol>\n","text/markdown":"1. 'ENSG00000115523'\n2. 'ENSG00000211592'\n3. 'ENSG00000211899'\n4. 'ENSG00000090382'\n5. 'ENSG00000144218'\n6. 'ENSG00000019582'\n7. 'ENSG00000105835'\n8. 'ENSG00000124882'\n9. 'ENSG00000153064'\n10. 'chr3:93470134-93471048'\n\n\n","text/latex":"\\begin{enumerate*}\n\\item 'ENSG00000115523'\n\\item 'ENSG00000211592'\n\\item 'ENSG00000211899'\n\\item 'ENSG00000090382'\n\\item 'ENSG00000144218'\n\\item 'ENSG00000019582'\n\\item 'ENSG00000105835'\n\\item 'ENSG00000124882'\n\\item 'ENSG00000153064'\n\\item 'chr3:93470134-93471048'\n\\end{enumerate*}\n","text/plain":" [1] \"ENSG00000115523\"        \"ENSG00000211592\"        \"ENSG00000211899\"       \n [4] \"ENSG00000090382\"        \"ENSG00000144218\"        \"ENSG00000019582\"       \n [7] \"ENSG00000105835\"        \"ENSG00000124882\"        \"ENSG00000153064\"       \n[10] \"chr3:93470134-93471048\""},"metadata":{}}]},{"cell_type":"code","source":"# Plotting variable features\n\nplot1 <- VariableFeaturePlot(seurat)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:44:53.880412Z","iopub.execute_input":"2023-11-08T06:44:53.882860Z","iopub.status.idle":"2023-11-08T06:44:54.041982Z"},"trusted":true},"execution_count":42,"outputs":[{"name":"stderr","text":"Rasterizing points since number of points exceeds 100,000.\nTo disable this behavior set `raster=FALSE`\n\n","output_type":"stream"}]},{"cell_type":"code","source":"LabelPoints(plot = plot1, points = top10, repel = TRUE)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:45:37.645012Z","iopub.execute_input":"2023-11-08T06:45:37.650941Z","iopub.status.idle":"2023-11-08T06:45:39.377326Z"},"trusted":true},"execution_count":43,"outputs":[{"name":"stderr","text":"When using repel, set xnudge and ynudge to 0 for optimal results\n\nWarning message:\n“\u001b[1m\u001b[22mTransformation introduced infinite values in continuous x-axis”\n","output_type":"stream"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nHQAAAICKQGMHAAAAoCLQ2AEAAACoCD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HF3+8mSsy4ipCcb3jFzWjt2cdj68jrOtAADwVlH+BsXwH6Hbaepe//aZSVM/T6z2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\nhg0++vgxtz780sbK6nhOEPWEmz9LLheuRuKdyx0jH+3hT2NC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8bMsl1NEXTZhV11zw65dK7ULcsrHKXspR3N+aVfe84xCIAD4DMGugXL5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\nQBA3fUvbKYCJOpcAAAAASUVORK5CYII="},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"code","source":"# Scaling the data\n\nall.genes <- rownames(seurat)\nseurat <- ScaleData(seurat, features = all.genes)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:47:43.084666Z","iopub.execute_input":"2023-11-08T06:47:43.086417Z","iopub.status.idle":"2023-11-08T06:47:54.326176Z"},"trusted":true},"execution_count":44,"outputs":[{"name":"stderr","text":"Centering and scaling data matrix\n\n","output_type":"stream"}]},{"cell_type":"code","source":"#  Performing Linear Dimensionality Reduction ------\n\nseurat <- RunPCA(seurat, features = VariableFeatures(object = seurat))","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:49:37.505060Z","iopub.execute_input":"2023-11-08T06:49:37.507087Z","iopub.status.idle":"2023-11-08T06:49:38.025050Z"},"trusted":true},"execution_count":45,"outputs":[{"name":"stderr","text":"PC_ 1 \nPositive:  ENSG00000120594, ENSG00000105835, ENSG00000038427, ENSG00000119535, ENSG00000148655, ENSG00000085265, ENSG00000070961, ENSG00000033327, ENSG00000245532, ENSG00000254087 \n\t   ENSG00000169554, ENSG00000090382, ENSG00000197746, ENSG00000104093, ENSG00000112149, ENSG00000130066, ENSG00000188641, ENSG00000183023, ENSG00000182621, ENSG00000145819 \n\t   ENSG00000151726, ENSG00000125538, ENSG00000168461, ENSG00000019582, ENSG00000204287, ENSG00000122862, ENSG00000198804, ENSG00000011422, ENSG00000163694, ENSG00000138639 \nNegative:  chr9:79571241-79572163, chr12:56645677-56646597, chr19:41120754-41121648, chr17:57084744-57085595, chr5:157265687-157266538, chr4:7649560-7650479, chr17:7484038-7484962, chr16:31032893-31033757, chr2:183037973-183038844, chr14:24633895-24634807 \n\t   chr19:45770187-45770989, chr7:56051235-56052141, chr16:25257371-25258255, chr21:46425371-46426252, chr17:58083022-58083764, chr6:143842820-143843740, chr13:24618221-24619122, chr2:241762712-241763647, chr16:391659-392511, chr9:128340065-128340973 \n\t   chr12:105330175-105331086, chr19:4328049-4328969, chr15:82046715-82047599, chr10:26448458-26449371, chr1:2642744-2643557, chr4:89110955-89111840, chr7:28179376-28180293, chr5:115544403-115545255, chr5:159209150-159210069, chr3:138594036-138594972 \nPC_ 2 \nPositive:  ENSG00000251562, ENSG00000166710, ENSG00000198712, ENSG00000112182, ENSG00000198804, ENSG00000171791, ENSG00000153064, ENSG00000144218, ENSG00000156738, ENSG00000116191 \n\t   ENSG00000247982, ENSG00000211899, ENSG00000196092, ENSG00000105369, ENSG00000082438, ENSG00000152217, ENSG00000144645, ENSG00000075624, ENSG00000164330, ENSG00000184305 \n\t   ENSG00000137478, ENSG00000182463, ENSG00000211592, ENSG00000042980, ENSG00000255733, ENSG00000253535, ENSG00000196628, ENSG00000271503, ENSG00000211677, ENSG00000113088 \nNegative:  chr20:50292280-50293170, chr3:93470134-93471048, chr13:113607160-113608065, chr14:35366070-35366674, chr10:12265506-12266357, chr2:12073953-12074823, chr12:94640247-94641135, chr5:56415077-56415968, chr11:2420472-2421326, chr20:8073126-8074046 \n\t   chr12:89756450-89757345, chr3:183210432-183211365, chr3:172131927-172132823, chr14:89504340-89505171, chr13:69389680-69390532, chr11:78289979-78290817, chr5:163916169-163917032, chr2:136225743-136226647, chr10:72254806-72255671, chr8:33524432-33525344 \n\t   chr5:65845060-65845963, chr2:12057210-12058118, chr6:14857227-14858122, chr17:76000190-76001073, chr3:186108776-186109694, chr4:680872-681682, chr8:41569499-41570421, chr11:62104888-62105775, chr3:183306645-183307545, chr17:533855-534776 \nPC_ 3 \nPositive:  ENSG00000153064, ENSG00000196092, ENSG00000211899, ENSG00000247982, ENSG00000105369, ENSG00000144218, ENSG00000156738, ENSG00000116191, ENSG00000082438, ENSG00000164330 \n\t   ENSG00000152217, ENSG00000184305, ENSG00000253535, ENSG00000144645, ENSG00000042980, ENSG00000196628, ENSG00000211592, ENSG00000204287, ENSG00000137478, ENSG00000138639 \n\t   ENSG00000019582, ENSG00000178295, ENSG00000120162, chr6:32945167-32945972, ENSG00000211677, chr10:12265506-12266357, chr6:2862632-2863500, ENSG00000112182, ENSG00000140968, ENSG00000048052 \nNegative:  ENSG00000122862, ENSG00000145819, ENSG00000038427, ENSG00000182621, ENSG00000120594, ENSG00000188641, ENSG00000104093, ENSG00000151726, ENSG00000105835, ENSG00000245532 \n\t   ENSG00000011422, ENSG00000119535, ENSG00000125538, ENSG00000128512, ENSG00000163694, ENSG00000168461, ENSG00000124882, ENSG00000073910, ENSG00000241163, ENSG00000183023 \n\t   ENSG00000271503, ENSG00000148655, ENSG00000169429, ENSG00000052749, ENSG00000118495, ENSG00000179104, ENSG00000123610, ENSG00000033327, ENSG00000123689, ENSG00000253320 \nPC_ 4 \nPositive:  chr20:8073126-8074046, chr2:12073953-12074823, chr14:89504340-89505171, ENSG00000166710, chr17:76000190-76001073, chr9:73154660-73155395, chr13:69389680-69390532, chr5:65845060-65845963, chr10:72254806-72255671, chr11:62104888-62105775 \n\t   chr21:46307380-46308280, chr8:41569499-41570421, chr14:35366070-35366674, chr11:78325203-78326094, chr20:50292280-50293170, chr14:23120574-23121396, chr17:49687748-49688623, chr9:98045086-98045997, chr13:36420147-36421019, chrX:77787796-77788708 \n\t   chr9:34500375-34501274, chrX:123878996-123879785, ENSG00000198804, ENSG00000198712, chr10:43689780-43690617, chr4:37890982-37891756, ENSG00000251562, chr17:42458367-42459270, chr9:113232645-113233496, chr8:118055998-118056885 \nNegative:  chr20:45946114-45946970, chr8:55885349-55886230, chr20:50385958-50386876, chr3:71421720-71422631, chr7:28179376-28180293, chr18:3452191-3452939, chr14:24633895-24634807, chr8:29004219-29005108, chr7:56051235-56052141, chr1:116380472-116381363 \n\t   chr8:55843884-55844769, chr16:10385616-10386508, chr15:75720729-75721638, chr11:125062683-125063540, chr11:120952399-120953278, chr16:28936223-28937126, chr1:25035811-25036600, chr17:81381885-81382723, chr17:74531931-74532758, chr2:237662398-237663301 \n\t   chr10:73763099-73763987, chr10:70925407-70926304, chr11:10725080-10725995, chr10:26881744-26882616, chr17:7484038-7484962, chr2:241762712-241763647, chr17:83200199-83200799, chr7:74092680-74093447, chr11:33211060-33211987, chr5:368574-369336 \nPC_ 5 \nPositive:  chr19:48967292-48968224, chr5:180069550-180070375, chr1:116380472-116381363, chr8:55885349-55886230, chr17:77465332-77466244, chr5:368574-369336, chr11:33211060-33211987, chr17:78131966-78132666, chr9:90795738-90796643, chr9:97038779-97039659 \n\t   chr8:66123623-66124526, chr13:95301056-95301891, chr6:391249-392175, chr7:74092680-74093447, chr1:40860428-40861209, chr5:55220296-55221243, chr18:8623438-8624352, chr11:61129496-61130409, chr22:30802494-30803400, chr3:71064516-71065396 \n\t   chr11:64971623-64972503, chr11:2932934-2933901, chr22:50191207-50192093, chr10:22765914-22766807, chr1:45569794-45570690, chr12:124390620-124391290, chr19:40055685-40056606, chr22:45996135-45996974, chr11:10725080-10725995, chr22:20968191-20968992 \nNegative:  ENSG00000115523, ENSG00000100453, ENSG00000105374, chr1:202197366-202198291, chr14:24633895-24634807, ENSG00000077984, chr14:64722546-64723429, chr20:50385958-50386876, ENSG00000137441, ENSG00000275302 \n\t   chr4:7649560-7650479, chr1:25035811-25036600, chr16:391659-392511, chr13:24618221-24619122, ENSG00000145649, ENSG00000203747, chr11:134582149-134582991, chr17:81381885-81382723, chr6:105646139-105647027, chr4:680872-681682 \n\t   ENSG00000174482, chr12:70049723-70050630, chr12:52566624-52567526, chr15:94272228-94273156, chr2:240998163-240999041, chr3:172131927-172132823, chr16:57802046-57802959, chr5:139389568-139390437, chr11:48011641-48012469, chr8:143290911-143291805 \n\n","output_type":"stream"}]},{"cell_type":"code","source":"#  Visualizing  PCA  results\n\nprint(seurat[[\"pca\"]], dims = 1:5, nfeatures = 5)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:51:27.748548Z","iopub.execute_input":"2023-11-08T06:51:27.752792Z","iopub.status.idle":"2023-11-08T06:51:27.912852Z"},"trusted":true},"execution_count":46,"outputs":[{"name":"stdout","text":"PC_ 1 \nPositive:  ENSG00000120594, ENSG00000105835, ENSG00000038427, ENSG00000119535, ENSG00000148655 \nNegative:  chr9:79571241-79572163, chr12:56645677-56646597, chr19:41120754-41121648, chr17:57084744-57085595, chr5:157265687-157266538 \nPC_ 2 \nPositive:  ENSG00000251562, ENSG00000166710, ENSG00000198712, ENSG00000112182, ENSG00000198804 \nNegative:  chr20:50292280-50293170, chr3:93470134-93471048, chr13:113607160-113608065, chr14:35366070-35366674, chr10:12265506-12266357 \nPC_ 3 \nPositive:  ENSG00000153064, ENSG00000196092, ENSG00000211899, ENSG00000247982, ENSG00000105369 \nNegative:  ENSG00000122862, ENSG00000145819, ENSG00000038427, ENSG00000182621, ENSG00000120594 \nPC_ 4 \nPositive:  chr20:8073126-8074046, chr2:12073953-12074823, chr14:89504340-89505171, ENSG00000166710, chr17:76000190-76001073 \nNegative:  chr20:45946114-45946970, chr8:55885349-55886230, chr20:50385958-50386876, chr3:71421720-71422631, chr7:28179376-28180293 \nPC_ 5 \nPositive:  chr19:48967292-48968224, chr5:180069550-180070375, chr1:116380472-116381363, chr8:55885349-55886230, chr17:77465332-77466244 \nNegative:  ENSG00000115523, ENSG00000100453, ENSG00000105374, chr1:202197366-202198291, chr14:24633895-24634807 \n","output_type":"stream"}]},{"cell_type":"code","source":"# Heat map\n\nDimHeatmap(seurat, dims = 2, cells = 500, balanced = TRUE)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:53:27.030590Z","iopub.execute_input":"2023-11-08T06:53:27.033509Z","iopub.status.idle":"2023-11-08T06:53:27.361243Z"},"trusted":true},"execution_count":48,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nvDCZ7QCWZVlWF/XxqFcdLYVieauAQb/eUBpmcd+feys5h2XZkuwzU8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1HJYpCDiQdshPVQuYRmDoePL8v2Orau2+F+QcNWH9at3zXxU+7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AwCdNzdXWbvXq0wpPh6C0J4l35bydays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\nlxhu67bD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determining Dimensionality of the data\n\nElbowPlot(seurat)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:55:05.349466Z","iopub.execute_input":"2023-11-08T06:55:05.351849Z","iopub.status.idle":"2023-11-08T06:55:05.611614Z"},"trusted":true},"execution_count":49,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nTPsnAwCwDaUNuy/+cUTsJ1EULX7r6NhWZF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yxy97PdLplxod/OGDzNzdq1CgvL2+TjXl5ebm5uWX9TwEAEJhULp54+IKHYrEq/5hwzyZV\nF0VRLKvuzaNGVY1FD19wXyk/7aUre476JnH/20/kZm9HV3IAAOxwUmmp/1u0umrtA3vWzdni\n3qq1ux5aJ2f1N0+W5qNWfPTnE4d8fPgtr53btm5p3j916tQvfjJs2LAyDA0AELpUwm59MllU\n8MXq4i2fw00m8uesXR8r3bNiv53xr0Qy+fZN3WI/2WXvZ6Iomn5Lx1gs1uyQ8Zu8v1WrVrv/\npEmTFO+BDAAQpFRuUDygSc27Fy4764nPR5237+Z75ww/e/G64jqtBpTmo+rsccw557TZeEvh\nyneeeeHLXQ7od9wBDeq2aZ7CeAAAO6dULp5YMGpA65OejmVVv+TOJ/94xYm5VX887JdY/+3o\n+28+63dD1hQnBoz69/ATdkthoG1fPLGxcePG9e3bN3LxBABAFEWpHbHb7cQnB50x8zdPfzrk\n2lMeuSl3/wM7NK1fY+13Sz+aNjNvbVEURe1OH/RESlUHAEDKUntWbPzKpz7au9sNN9z59+mL\nln848Y0NO+q27nrpdbf96eKjXOCamo8++ujdd99dsWJFu3bt+vTpU7Vq1UxPBADsMFI5Ffv/\nJYsWfDJ15pyF369eV6tu/db7duy4166VlnSBnYpdu3btZZdd9vjjj2/4X6RNmzZPPPHEoYce\nmtnBAIAdRfnCLqMCC7sLLrhgkxu4xOPxmjVrzp49u1mzUt3qGQDYyaV2KjZav2resyPGzPx4\nfn5xYmvvGTJkSKpT7XSWLVv22GOPbbIxkUj88MMPQ4YMue222zIyFQCwY0kl7Aq+faPb7n1m\nrFy37bcJu9KbNWtWIrGFRM7Kypo2bVrlzwMA7IhSCbtR/c+esXJdlZp7XPbb8zu0aeo6ifLb\n2gnxZDK5454rBwAqWSphd/v7y2Lxao9/PuP0FrXSPtDOaf/994/H45sftEskEp07d87ISADA\nDqfMh9uSxT/Mzi+q2eR8VZdGTZo0OfPMMzfZWHLxxP/8z/9kZCQAYIdT5rBLFH1fnEwmE/kV\nMc3O7MEHHzzjjDNisdiGLS1atBg7duyuu+6awakAgB1IKrc7Ob9lnce+XvvPxd+f3LRmRcxU\nSoHd7qTE9OnTJ06c+N1337Vv3/7YY4+tVq1apicCAHYYqXzH7p7Xh7y9/7lnd+qXNXb4CZ3c\nYi2dOnXq1KlTp0xPAQDskFIJu0HPzD/xjB73DHv9xM7NW+zVYa+2e+TW2sKTr0aMGFHu8QAA\nKK1UTsVu/D2wbajo+3QEeSoWACBlqRyxe/bZZ9M+BwAA5ZRK2J166qlpnwMAgHLy2AgAgEBU\nSNi9fc6vfnnc1RXxyQAAbE0qp2JLrFo09/NFy4s2u0KiuGD5jS+88t6aKlH0t/LNBgBAGaQU\ndsl1d53Z44ZnpiS2ft1rzcYnpT4UAABll8qp2LmPnXj90x8kY9U6dDvi4PaNoiiq1bLrkUce\n2bvX4bvVz4miqN3pV45+b2iaJwUAYJtSOWI37JZJURRdOOrTh45vHSULTwN0OnkAACAASURB\nVGhU752ap0yYcE0URUX5c8/Zv+vYD78/pFWtNE8KAMA2pXLE7tm8/Kyc5g/0ax1FURSrevnB\njVd9eX/Jruwaew59a/DKuU+eNGxuGqcEAOBnpRJ2eYXFVWq0q/LT4yeaHdO0aN3CGavXl7ys\n1fzsfg2qTb5lcLpGBACgNFIJuz2qZxflf17808uGh7aMouiJJWs2vOGAWlXX5j2XhukAACi1\nVMLuopZ1itYtunzsgpKXNZudEEXRhMEf/7g7WfTqdwVRLPUbqQAAkIJUwu6kof2jKHr4+PZH\nnzowiqLqDfsfUidnziP97xs/dck3Xz7zh37vrVpXu8VFaZ4UAIBtSiXsmnZ/cPjAo2OJ/Amj\nno6iKIpij/316OLCpVf26dqseZszbhsfi8Uve/yS9A4KAMC2pfhIsQH3jV88/fVHHriz5OVe\nF44ec/eV7Vs1zqlWv33XnrePmPmnw5qkb0gAAH5eLLn1p0dszZo1a+JZ1apXy9raGwrz84ui\nrBo1cso3288YN25c3759oyjKy8vLzc2t0LUAALZ/qRyxq1WrVttjXtvGG/6wd9N6jQ5MdSQA\nAFKR4qnYbSguyPs8f31xwZdp/2QAALahtGH3xT+OiP0kiqLFbx0d24rs6o1eXLE2p17Pihwb\nAIBNlfZuc7F4Vnb2j28uKiqKxbKysmJbe3PtRq1/M+TBNEwHAECplTbsdj/l9fWn/PhzLBZr\n1mPs12/+sqKGAgCg7FJ5PsTJJ5/coJ27mQAAbF9SCbuRI0emfQ4AAMqpjGGXKPhizvxY6312\n3+gmdmu+fv+Oux6d/uns4lpNux110mUX98+tkv6LbQEA2LYyFNirf79274b199h3v9/M+XbD\nxrypg1u0PvTPDwwb/+bkV19+7paBv27dpscri9ZUwKgAAGxLaY/YvXTNYcf/bXIURfHs6rWz\nfszBxPr/9Ox57XdFiap19r104IDaa74YP/LZaYsmndjxhK+X/qtB9lYvmwUAIO1KdcRu1b/v\nP/Ged+NZNX/79zF5a1Y/3X6Xku1fvXTBp2vWZ1VpOGbutHv/9Ps/3vvoB1/OP7dtvbUrJgwY\nvaACpwYAYDOlCrt3LvtrcTJ58O3v/O3Svg2q/v9fGXPT5CiK9jjzn79oXP3Hj6va5O7nz46i\naMrNr1TAtAAAbFWpwu7hKXmxWPzhyztsvDGZWPPnL1ZGUXTOzZ023l5vz6ujKFq9eHj6hgQA\n4OeVKuwmrVxXpeYB7Wr81xfyflj0t2WFxdnVWv22ZZ2Nt2fltKiXHV+f/3k6xwQA4OeUKuzW\nJ6N4dt1NNn7xf6OjKKq/1/9W3fQaiUR+IhmL56RlPgAASqlUYdeuZpXC1R/+UJzceONT/zc/\niqK9r+qxyZsLV04qTCSr1NwvXSMCAFAapQq7C1vXSRStuuKNxRu2FKwYO2jx6iiKLjym+SZv\n/urFP0dRVL/dBekbEgCAn1eqsOsz+Ngoip7+Ve+H35mXiKLigkX/e+z5iWSyRu7JZzaqsfE7\n1yyecNKlb0ZRdOyfu1fEuAAAbE2pwq5pj0d/363x+vy5F/fYs0b9JnVq7fa395dFUfSre+74\n6S3JCS8/N/jWi9rsfszHa9Y3aH/l0O5NK2xmAAC2oJRPnoj/6a2Z2ef3v+OpSeu+XxZFUTyr\n1km/ffjpM/f4cX+y8Kh+p5T82KD9aZM/+KuHxQIAVLLSPlIsXqXJH5985/d/mT1p+ty1WXX3\n3q/rns2qb7Q/tne7/ZvstlevY0+76sJf1cryMDEAgMpW2rArUb3J3r/os/cWdsSqfv7JzPRM\nBABASpwyBQAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAI\nhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMA\nCISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLAD\nAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISwAwAIhLADAAiEsAMACISw\nAwAIRHamByBj1qxZM3LkyE8//bR+/fqHHXZY9+7dMz0RAFAuwm4nNWHChLPOOmvp0qUbthx7\n7LFPPfVU3bp1MzgVAFAeTsXujBYuXHj88cf/5z//2Xjj2LFjL7zwwkyNBACUn7DbGT300ENr\n165NJBIbb0wmk88999zChQszNRUAUE7Cbmc0a9asrKyszbcnk8lZs2ZV/jwAQFoIu53RFqvu\nZ3cBANs5Ybcz6tq1a3Fx8ebb4/F4586dK38eACAthN3O6OKLL27QoMHmB+cuuuiixo0bZ2Qk\nAKD8hN3OKDc397XXXmvXrt2GLfF4/LLLLhs0aFAGpwIAysl97HZSHTt2nD59+ttvv/3JJ5/U\nq1evW7due+yxR6aHAgDKRdjtvLKysnr16tWrV69MDwIApIdTsQAAgRB2AACBEHYAAIEQdgAA\ngRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYA\nAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2\nAACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQdgAAgRB2AACBEHYAAIEQ\ndgAAgRB2AACBEHYAAIEQdgAAgcjO9ADsLEaPHv3KK68sXrx4zz33HDBgQMeOHTM9EQCERthR\n4VavXn3iiSdOmDAhHo/HYrGxY8cOGjTouuuuu/322zM9GgAExalYKtx11103YcKEKIoSiURx\ncXEymUwkEnfcccdzzz2X6dEAICjCjoq1bt26xx57bPPt8Xh86NChlT8PAARM2FGxvv7667Vr\n126+PZFIfPbZZ5U/DwAETNhRsWrUqLG1XTVr1qzMSQAgeMKOitW0adM2bdrE45v+Py0Wi/Xs\n2TMjIwFAqIQdFe7OO+9MJpMbt108Hq9Vq9bvf//7DE4FAOERdlS4k08+eeTIkU2aNNmw5cAD\nD5w4cWLr1q0zOBUAhMd97KgMJ5100rHHHvvJJ58sXrx47733btu2bSwWy/RQABAaYUclycnJ\n6dy5c+fOnTM9CAAEy6lYAIBACDsAgEAIOwCAQAg7AIBACDsAgEAIOwCAQAg7AIBACDsAgEAI\nOwCAQAg7AIBACDsAgEAIOwCAQAg7AIBACDsAgEAIOwCA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OBK80hsW9t2zuodVS5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\nAIog2AEAACjif2/sNLy1aiptAAAAAElFTkSuQmCC"},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"code","source":"# 7. Clustering ------------\n\nseurat <- FindNeighbors(seurat, dims = 1:15)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:56:47.514824Z","iopub.execute_input":"2023-11-08T06:56:47.516629Z","iopub.status.idle":"2023-11-08T06:56:47.754233Z"},"trusted":true},"execution_count":52,"outputs":[{"name":"stderr","text":"Computing nearest neighbor graph\n\nComputing SNN\n\n","output_type":"stream"}]},{"cell_type":"code","source":"# understanding resolution\n\nseurat <- FindClusters(seurat, resolution = c(0.1,0.3, 0.5, 0.7, 1))\nView(seurat@meta.data)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T06:57:48.735056Z","iopub.execute_input":"2023-11-08T06:57:48.736910Z","iopub.status.idle":"2023-11-08T06:57:49.291188Z"},"trusted":true},"execution_count":53,"outputs":[{"name":"stdout","text":"Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck\n\nNumber of nodes: 508\nNumber of edges: 20364\n\nRunning Louvain algorithm...\nMaximum modularity in 10 random starts: 0.9232\nNumber of communities: 3\nElapsed time: 0 seconds\nModularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck\n\nNumber of nodes: 508\nNumber of edges: 20364\n\nRunning Louvain algorithm...\nMaximum modularity in 10 random starts: 0.8212\nNumber of communities: 4\nElapsed time: 0 seconds\nModularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck\n\nNumber of nodes: 508\nNumber of edges: 20364\n\nRunning Louvain algorithm...\nMaximum modularity in 10 random starts: 0.7490\nNumber of communities: 5\nElapsed time: 0 seconds\nModularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck\n\nNumber of nodes: 508\nNumber of edges: 20364\n\nRunning Louvain algorithm...\nMaximum modularity in 10 random starts: 0.6797\nNumber of communities: 5\nElapsed time: 0 seconds\nModularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck\n\nNumber of nodes: 508\nNumber of edges: 20364\n\nRunning Louvain algorithm...\nMaximum modularity in 10 random starts: 0.6074\nNumber of communities: 7\nElapsed time: 0 seconds\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"                   orig.ident nCount_RNA nFeature_RNA percent.mt\nAAACATGCATGCATAT-1 Proj1rna   3574       1910         0         \nAAACATGCATTCCTGT-1 Proj1rna   4205       2235         0         \nAAACGCGCAGCGCTTG-1 Proj1rna   4232       2243         0         \nAAACGCGCATTATGGT-1 Proj1rna   4622       2341         0         \nAAACGTACAGGATAAC-1 Proj1rna   1827       1132         0         \nAAAGCCCGTATGTGGC-1 Proj1rna   3004       1602         0         \nAAAGCCCGTCACGGAT-1 Proj1rna   3043       1711         0         \nAAAGCCCGTCTTTATG-1 Proj1rna   3631       1708         0         \nAAAGCCCGTTTAGTCC-1 Proj1rna   4081       2264         0         \nAAAGCCGCACCCTCAC-1 Proj1rna   2124       1223         0         \nAAAGCCGCACGTTACA-1 Proj1rna   3262       1715         0         \nAACAAAGGTTCCAGGG-1 Proj1rna   3896       1775         0         \nAACATCATCTCTAGCC-1 Proj1rna   3556       1735         0         \nAACTACTCAAGGTGCA-1 Proj1rna   3987       2051         0         \nAACTGTTCATCCCTCA-1 Proj1rna   4579       2012         0         \nAACTTAGTCAATGAGG-1 Proj1rna   3452       1766         0         \nAAGACAAGTCCGTAGG-1 Proj1rna   4168       1926         0         \nAAGCCACGTAACCTAG-1 Proj1rna   2459       1208         0         \nAAGCCTTAGGCATGAA-1 Proj1rna   4211       1908         0         \nAAGCGCTGTAAAGCGG-1 Proj1rna   3993       2143         0         \nAAGCGCTGTACGTTTC-1 Proj1rna   5370       2319         0         \nAAGCGGGTCGCATCCT-1 Proj1rna   3910       2064         0         \nAAGGAAGCAATTGCGC-1 Proj1rna   3525       1775         0         \nAAGGAAGCACAAAGCG-1 Proj1rna   2792       1577         0         \nAAGGAAGCAGGGAGGA-1 Proj1rna   4604       2424         0         \nAAGGAAGCAGGTTCAC-1 Proj1rna   3655       1850         0         \nAAGGCCCTCATTAGCA-1 Proj1rna   4475       1943         0         \nAAGGTGCAGCTAGAAG-1 Proj1rna   3775       2094         0         \nAAGTGAAGTTAAGGCC-1 Proj1rna   2846       1599         0         \nAAGTGTTGTGGTTCCC-1 Proj1rna   3189       1773         0         \n⋮                  ⋮          ⋮          ⋮            ⋮         \nTGTTTGTTCTTGCAGG-1 Proj1rna   3254       1751         0         \nTTAACTGAGCTTTGGG-1 Proj1rna   2028        992         0         \nTTAGAAGCACCCACAG-1 Proj1rna   4664       2141         0         \nTTAGCCTGTTATAGCG-1 Proj1rna   4221       1837         0         \nTTAGGATGTCGTAATG-1 Proj1rna   3876       2119         0         \nTTAGGCGTCCAGGTTG-1 Proj1rna   4164       2017         0         \nTTAGTCAAGGTCGAGG-1 Proj1rna   2556       1344         0         \nTTATGCGCAATTAACC-1 Proj1rna   4452       2287         0         \nTTATGCGCAGCAAGAT-1 Proj1rna   2496       1416         0         \nTTATGCGCATTGTGCA-1 Proj1rna   4346       2285         0         \nTTCATCCCAGGATTAA-1 Proj1rna   2512       1134         0         \nTTCCACGGTCCAAATG-1 Proj1rna   2363       1227         0         \nTTCCTCAAGCGTGCAC-1 Proj1rna   4662       2125         0         \nTTCGTGCTCGCTTGCT-1 Proj1rna   3900       1824         0         \nTTCGTGCTCTTGGATA-1 Proj1rna   4906       2213         0         \nTTCTTAGGTCTAACCT-1 Proj1rna   5625       2452         0         \nTTCTTAGGTGGTTCCC-1 Proj1rna   4084       2264         0         \nTTGCTTAGTGCTGGTG-1 Proj1rna   5035       2426         0         \nTTGCTTAGTTGTTGTC-1 Proj1rna   3615       1566         0         \nTTGGCGGGTTTATGGG-1 Proj1rna   3462       1669         0         \nTTGGCTTGTCATTACC-1 Proj1rna   1705        874         0         \nTTGGGCGGTCACAGAC-1 Proj1rna   2953       1295         0         \nTTGTCAAAGGGTGGAT-1 Proj1rna   3488       1758         0         \nTTGTCCATCCCTGTTA-1 Proj1rna   1914       1021         0         \nTTTCACCCAAACCCTA-1 Proj1rna   3813       2101         0         \nTTTCCGGGTTCTTTAG-1 Proj1rna   1940        948         0         \nTTTCGTCCATTAAAGG-1 Proj1rna   3840       1956         0         \nTTTCTCACAGAACCGA-1 Proj1rna   2895       1346         0         \nTTTGGTAAGACTAAGG-1 Proj1rna   5053       2366         0         \nTTTGGTAAGTTGCCTC-1 Proj1rna   2281       1210         0         \n                   RNA_snn_res.0.1 RNA_snn_res.0.3 RNA_snn_res.0.5\nAAACATGCATGCATAT-1 1               2               2              \nAAACATGCATTCCTGT-1 0               1               1              \nAAACGCGCAGCGCTTG-1 0               1               1              \nAAACGCGCATTATGGT-1 0               0               0              \nAAACGTACAGGATAAC-1 0               1               1              \nAAAGCCCGTATGTGGC-1 0               1               1              \nAAAGCCCGTCACGGAT-1 0               1               1              \nAAAGCCCGTCTTTATG-1 2               3               4              \nAAAGCCCGTTTAGTCC-1 1               2               2              \nAAAGCCGCACCCTCAC-1 0               1               1              \nAAAGCCGCACGTTACA-1 0               1               1              \nAACAAAGGTTCCAGGG-1 0               0               0              \nAACATCATCTCTAGCC-1 0               1               1              \nAACTACTCAAGGTGCA-1 0               1               1              \nAACTGTTCATCCCTCA-1 0               0               0              \nAACTTAGTCAATGAGG-1 0               0               0              \nAAGACAAGTCCGTAGG-1 0               0               0              \nAAGCCACGTAACCTAG-1 0               1               1              \nAAGCCTTAGGCATGAA-1 0               0               0              \nAAGCGCTGTAAAGCGG-1 0               0               0              \nAAGCGCTGTACGTTTC-1 0               0               0              \nAAGCGGGTCGCATCCT-1 0               0               0              \nAAGGAAGCAATTGCGC-1 0               1               1              \nAAGGAAGCACAAAGCG-1 0               1               3              \nAAGGAAGCAGGGAGGA-1 0               1               1              \nAAGGAAGCAGGTTCAC-1 0               1               1              \nAAGGCCCTCATTAGCA-1 0               0               0              \nAAGGTGCAGCTAGAAG-1 1               2               2              \nAAGTGAAGTTAAGGCC-1 0               1               1              \nAAGTGTTGTGGTTCCC-1 0               1               1              \n⋮                  ⋮               ⋮               ⋮              \nTGTTTGTTCTTGCAGG-1 0               1               1              \nTTAACTGAGCTTTGGG-1 0               1               1              \nTTAGAAGCACCCACAG-1 0               0               0              \nTTAGCCTGTTATAGCG-1 0               1               1              \nTTAGGATGTCGTAATG-1 1               2               2              \nTTAGGCGTCCAGGTTG-1 0               0               0              \nTTAGTCAAGGTCGAGG-1 0               0               0              \nTTATGCGCAATTAACC-1 0               1               1              \nTTATGCGCAGCAAGAT-1 0               1               1              \nTTATGCGCATTGTGCA-1 0               0               0              \nTTCATCCCAGGATTAA-1 0               1               1              \nTTCCACGGTCCAAATG-1 0               0               0              \nTTCCTCAAGCGTGCAC-1 0               0               0              \nTTCGTGCTCGCTTGCT-1 0               1               1              \nTTCGTGCTCTTGGATA-1 0               0               0              \nTTCTTAGGTCTAACCT-1 0               0               0              \nTTCTTAGGTGGTTCCC-1 0               1               1              \nTTGCTTAGTGCTGGTG-1 0               1               1              \nTTGCTTAGTTGTTGTC-1 0               0               0              \nTTGGCGGGTTTATGGG-1 0               1               1              \nTTGGCTTGTCATTACC-1 0               1               1              \nTTGGGCGGTCACAGAC-1 0               0               0              \nTTGTCAAAGGGTGGAT-1 0               0               0              \nTTGTCCATCCCTGTTA-1 1               2               2              \nTTTCACCCAAACCCTA-1 0               3               4              \nTTTCCGGGTTCTTTAG-1 0               0               0              \nTTTCGTCCATTAAAGG-1 0               0               0              \nTTTCTCACAGAACCGA-1 0               1               1              \nTTTGGTAAGACTAAGG-1 1               2               2              \nTTTGGTAAGTTGCCTC-1 0               1               1              \n                   RNA_snn_res.0.7 RNA_snn_res.1 seurat_clusters\nAAACATGCATGCATAT-1 2               3             3              \nAAACATGCATTCCTGT-1 1               1             1              \nAAACGCGCAGCGCTTG-1 1               2             2              \nAAACGCGCATTATGGT-1 0               4             4              \nAAACGTACAGGATAAC-1 1               2             2              \nAAAGCCCGTATGTGGC-1 1               2             2              \nAAAGCCCGTCACGGAT-1 1               2             2              \nAAAGCCCGTCTTTATG-1 4               6             6              \nAAAGCCCGTTTAGTCC-1 2               3             3              \nAAAGCCGCACCCTCAC-1 0               1             1              \nAAAGCCGCACGTTACA-1 1               2             2              \nAACAAAGGTTCCAGGG-1 0               0             0              \nAACATCATCTCTAGCC-1 1               2             2              \nAACTACTCAAGGTGCA-1 1               2             2              \nAACTGTTCATCCCTCA-1 0               4             4              \nAACTTAGTCAATGAGG-1 0               1             1              \nAAGACAAGTCCGTAGG-1 0               0             0              \nAAGCCACGTAACCTAG-1 1               1             1              \nAAGCCTTAGGCATGAA-1 0               0             0              \nAAGCGCTGTAAAGCGG-1 0               4             4              \nAAGCGCTGTACGTTTC-1 0               0             0              \nAAGCGGGTCGCATCCT-1 0               1             1              \nAAGGAAGCAATTGCGC-1 1               2             2              \nAAGGAAGCACAAAGCG-1 3               5             5              \nAAGGAAGCAGGGAGGA-1 1               1             1              \nAAGGAAGCAGGTTCAC-1 1               2             2              \nAAGGCCCTCATTAGCA-1 0               0             0              \nAAGGTGCAGCTAGAAG-1 2               3             3              \nAAGTGAAGTTAAGGCC-1 1               1             1              \nAAGTGTTGTGGTTCCC-1 1               1             1              \n⋮                  ⋮               ⋮             ⋮              \nTGTTTGTTCTTGCAGG-1 1               2             2              \nTTAACTGAGCTTTGGG-1 1               1             1              \nTTAGAAGCACCCACAG-1 0               4             4              \nTTAGCCTGTTATAGCG-1 1               1             1              \nTTAGGATGTCGTAATG-1 2               3             3              \nTTAGGCGTCCAGGTTG-1 0               4             4              \nTTAGTCAAGGTCGAGG-1 0               0             0              \nTTATGCGCAATTAACC-1 1               1             1              \nTTATGCGCAGCAAGAT-1 1               2             2              \nTTATGCGCATTGTGCA-1 0               0             0              \nTTCATCCCAGGATTAA-1 1               1             1              \nTTCCACGGTCCAAATG-1 0               0             0              \nTTCCTCAAGCGTGCAC-1 0               0             0              \nTTCGTGCTCGCTTGCT-1 1               1             1              \nTTCGTGCTCTTGGATA-1 0               0             0              \nTTCTTAGGTCTAACCT-1 0               0             0              \nTTCTTAGGTGGTTCCC-1 1               1             1              \nTTGCTTAGTGCTGGTG-1 1               2             2              \nTTGCTTAGTTGTTGTC-1 0               0             0              \nTTGGCGGGTTTATGGG-1 1               1             1              \nTTGGCTTGTCATTACC-1 1               1             1              \nTTGGGCGGTCACAGAC-1 0               0             0              \nTTGTCAAAGGGTGGAT-1 0               0             0              \nTTGTCCATCCCTGTTA-1 2               3             3              \nTTTCACCCAAACCCTA-1 4               6             6              \nTTTCCGGGTTCTTTAG-1 0               4             4              \nTTTCGTCCATTAAAGG-1 0               0             0              \nTTTCTCACAGAACCGA-1 1               1             1              \nTTTGGTAAGACTAAGG-1 2               3             3              \nTTTGGTAAGTTGCCTC-1 1               1             1              ","text/html":"<table class=\"dataframe\">\n<caption>A data.frame: 508 × 10</caption>\n<thead>\n\t<tr><th></th><th scope=col>orig.ident</th><th scope=col>nCount_RNA</th><th scope=col>nFeature_RNA</th><th scope=col>percent.mt</th><th scope=col>RNA_snn_res.0.1</th><th scope=col>RNA_snn_res.0.3</th><th scope=col>RNA_snn_res.0.5</th><th scope=col>RNA_snn_res.0.7</th><th scope=col>RNA_snn_res.1</th><th scope=col>seurat_clusters</th></tr>\n\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><th scope=row>AAACATGCATGCATAT-1</th><td>Proj1rna</td><td>3574</td><td>1910</td><td>0</td><td>1</td><td>2</td><td>2</td><td>2</td><td>3</td><td>3</td></tr>\n\t<tr><th scope=row>AAACATGCATTCCTGT-1</th><td>Proj1rna</td><td>4205</td><td>2235</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>AAACGCGCAGCGCTTG-1</th><td>Proj1rna</td><td>4232</td><td>2243</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>AAACGCGCATTATGGT-1</th><td>Proj1rna</td><td>4622</td><td>2341</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td><td>4</td></tr>\n\t<tr><th scope=row>AAACGTACAGGATAAC-1</th><td>Proj1rna</td><td>1827</td><td>1132</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>AAAGCCCGTATGTGGC-1</th><td>Proj1rna</td><td>3004</td><td>1602</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>AAAGCCCGTCACGGAT-1</th><td>Proj1rna</td><td>3043</td><td>1711</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>AAAGCCCGTCTTTATG-1</th><td>Proj1rna</td><td>3631</td><td>1708</td><td>0</td><td>2</td><td>3</td><td>4</td><td>4</td><td>6</td><td>6</td></tr>\n\t<tr><th scope=row>AAAGCCCGTTTAGTCC-1</th><td>Proj1rna</td><td>4081</td><td>2264</td><td>0</td><td>1</td><td>2</td><td>2</td><td>2</td><td>3</td><td>3</td></tr>\n\t<tr><th scope=row>AAAGCCGCACCCTCAC-1</th><td>Proj1rna</td><td>2124</td><td>1223</td><td>0</td><td>0</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>AAAGCCGCACGTTACA-1</th><td>Proj1rna</td><td>3262</td><td>1715</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>AACAAAGGTTCCAGGG-1</th><td>Proj1rna</td><td>3896</td><td>1775</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>AACATCATCTCTAGCC-1</th><td>Proj1rna</td><td>3556</td><td>1735</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>AACTACTCAAGGTGCA-1</th><td>Proj1rna</td><td>3987</td><td>2051</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>AACTGTTCATCCCTCA-1</th><td>Proj1rna</td><td>4579</td><td>2012</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td><td>4</td></tr>\n\t<tr><th scope=row>AACTTAGTCAATGAGG-1</th><td>Proj1rna</td><td>3452</td><td>1766</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>AAGACAAGTCCGTAGG-1</th><td>Proj1rna</td><td>4168</td><td>1926</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>AAGCCACGTAACCTAG-1</th><td>Proj1rna</td><td>2459</td><td>1208</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>AAGCCTTAGGCATGAA-1</th><td>Proj1rna</td><td>4211</td><td>1908</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>AAGCGCTGTAAAGCGG-1</th><td>Proj1rna</td><td>3993</td><td>2143</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td><td>4</td></tr>\n\t<tr><th scope=row>AAGCGCTGTACGTTTC-1</th><td>Proj1rna</td><td>5370</td><td>2319</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>AAGCGGGTCGCATCCT-1</th><td>Proj1rna</td><td>3910</td><td>2064</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>AAGGAAGCAATTGCGC-1</th><td>Proj1rna</td><td>3525</td><td>1775</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>AAGGAAGCACAAAGCG-1</th><td>Proj1rna</td><td>2792</td><td>1577</td><td>0</td><td>0</td><td>1</td><td>3</td><td>3</td><td>5</td><td>5</td></tr>\n\t<tr><th scope=row>AAGGAAGCAGGGAGGA-1</th><td>Proj1rna</td><td>4604</td><td>2424</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>AAGGAAGCAGGTTCAC-1</th><td>Proj1rna</td><td>3655</td><td>1850</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>AAGGCCCTCATTAGCA-1</th><td>Proj1rna</td><td>4475</td><td>1943</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>AAGGTGCAGCTAGAAG-1</th><td>Proj1rna</td><td>3775</td><td>2094</td><td>0</td><td>1</td><td>2</td><td>2</td><td>2</td><td>3</td><td>3</td></tr>\n\t<tr><th scope=row>AAGTGAAGTTAAGGCC-1</th><td>Proj1rna</td><td>2846</td><td>1599</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>AAGTGTTGTGGTTCCC-1</th><td>Proj1rna</td><td>3189</td><td>1773</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>⋮</th><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n\t<tr><th scope=row>TGTTTGTTCTTGCAGG-1</th><td>Proj1rna</td><td>3254</td><td>1751</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>TTAACTGAGCTTTGGG-1</th><td>Proj1rna</td><td>2028</td><td> 992</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>TTAGAAGCACCCACAG-1</th><td>Proj1rna</td><td>4664</td><td>2141</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td><td>4</td></tr>\n\t<tr><th scope=row>TTAGCCTGTTATAGCG-1</th><td>Proj1rna</td><td>4221</td><td>1837</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>TTAGGATGTCGTAATG-1</th><td>Proj1rna</td><td>3876</td><td>2119</td><td>0</td><td>1</td><td>2</td><td>2</td><td>2</td><td>3</td><td>3</td></tr>\n\t<tr><th scope=row>TTAGGCGTCCAGGTTG-1</th><td>Proj1rna</td><td>4164</td><td>2017</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td><td>4</td></tr>\n\t<tr><th scope=row>TTAGTCAAGGTCGAGG-1</th><td>Proj1rna</td><td>2556</td><td>1344</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTATGCGCAATTAACC-1</th><td>Proj1rna</td><td>4452</td><td>2287</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>TTATGCGCAGCAAGAT-1</th><td>Proj1rna</td><td>2496</td><td>1416</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>TTATGCGCATTGTGCA-1</th><td>Proj1rna</td><td>4346</td><td>2285</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTCATCCCAGGATTAA-1</th><td>Proj1rna</td><td>2512</td><td>1134</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>TTCCACGGTCCAAATG-1</th><td>Proj1rna</td><td>2363</td><td>1227</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTCCTCAAGCGTGCAC-1</th><td>Proj1rna</td><td>4662</td><td>2125</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTCGTGCTCGCTTGCT-1</th><td>Proj1rna</td><td>3900</td><td>1824</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>TTCGTGCTCTTGGATA-1</th><td>Proj1rna</td><td>4906</td><td>2213</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTCTTAGGTCTAACCT-1</th><td>Proj1rna</td><td>5625</td><td>2452</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTCTTAGGTGGTTCCC-1</th><td>Proj1rna</td><td>4084</td><td>2264</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>TTGCTTAGTGCTGGTG-1</th><td>Proj1rna</td><td>5035</td><td>2426</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td></tr>\n\t<tr><th scope=row>TTGCTTAGTTGTTGTC-1</th><td>Proj1rna</td><td>3615</td><td>1566</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTGGCGGGTTTATGGG-1</th><td>Proj1rna</td><td>3462</td><td>1669</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>TTGGCTTGTCATTACC-1</th><td>Proj1rna</td><td>1705</td><td> 874</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>TTGGGCGGTCACAGAC-1</th><td>Proj1rna</td><td>2953</td><td>1295</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTGTCAAAGGGTGGAT-1</th><td>Proj1rna</td><td>3488</td><td>1758</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTGTCCATCCCTGTTA-1</th><td>Proj1rna</td><td>1914</td><td>1021</td><td>0</td><td>1</td><td>2</td><td>2</td><td>2</td><td>3</td><td>3</td></tr>\n\t<tr><th scope=row>TTTCACCCAAACCCTA-1</th><td>Proj1rna</td><td>3813</td><td>2101</td><td>0</td><td>0</td><td>3</td><td>4</td><td>4</td><td>6</td><td>6</td></tr>\n\t<tr><th scope=row>TTTCCGGGTTCTTTAG-1</th><td>Proj1rna</td><td>1940</td><td> 948</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td><td>4</td></tr>\n\t<tr><th scope=row>TTTCGTCCATTAAAGG-1</th><td>Proj1rna</td><td>3840</td><td>1956</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n\t<tr><th scope=row>TTTCTCACAGAACCGA-1</th><td>Proj1rna</td><td>2895</td><td>1346</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n\t<tr><th scope=row>TTTGGTAAGACTAAGG-1</th><td>Proj1rna</td><td>5053</td><td>2366</td><td>0</td><td>1</td><td>2</td><td>2</td><td>2</td><td>3</td><td>3</td></tr>\n\t<tr><th scope=row>TTTGGTAAGTTGCCTC-1</th><td>Proj1rna</td><td>2281</td><td>1210</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA data.frame: 508 × 10\n\n| <!--/--> | orig.ident &lt;fct&gt; | nCount_RNA &lt;dbl&gt; | nFeature_RNA &lt;int&gt; | percent.mt &lt;dbl&gt; | RNA_snn_res.0.1 &lt;fct&gt; | RNA_snn_res.0.3 &lt;fct&gt; | RNA_snn_res.0.5 &lt;fct&gt; | RNA_snn_res.0.7 &lt;fct&gt; | RNA_snn_res.1 &lt;fct&gt; | seurat_clusters &lt;fct&gt; |\n|---|---|---|---|---|---|---|---|---|---|---|\n| AAACATGCATGCATAT-1 | Proj1rna | 3574 | 1910 | 0 | 1 | 2 | 2 | 2 | 3 | 3 |\n| AAACATGCATTCCTGT-1 | Proj1rna | 4205 | 2235 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| AAACGCGCAGCGCTTG-1 | Proj1rna | 4232 | 2243 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| AAACGCGCATTATGGT-1 | Proj1rna | 4622 | 2341 | 0 | 0 | 0 | 0 | 0 | 4 | 4 |\n| AAACGTACAGGATAAC-1 | Proj1rna | 1827 | 1132 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| AAAGCCCGTATGTGGC-1 | Proj1rna | 3004 | 1602 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| AAAGCCCGTCACGGAT-1 | Proj1rna | 3043 | 1711 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| AAAGCCCGTCTTTATG-1 | Proj1rna | 3631 | 1708 | 0 | 2 | 3 | 4 | 4 | 6 | 6 |\n| AAAGCCCGTTTAGTCC-1 | Proj1rna | 4081 | 2264 | 0 | 1 | 2 | 2 | 2 | 3 | 3 |\n| AAAGCCGCACCCTCAC-1 | Proj1rna | 2124 | 1223 | 0 | 0 | 1 | 1 | 0 | 1 | 1 |\n| AAAGCCGCACGTTACA-1 | Proj1rna | 3262 | 1715 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| AACAAAGGTTCCAGGG-1 | Proj1rna | 3896 | 1775 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| AACATCATCTCTAGCC-1 | Proj1rna | 3556 | 1735 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| AACTACTCAAGGTGCA-1 | Proj1rna | 3987 | 2051 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| AACTGTTCATCCCTCA-1 | Proj1rna | 4579 | 2012 | 0 | 0 | 0 | 0 | 0 | 4 | 4 |\n| AACTTAGTCAATGAGG-1 | Proj1rna | 3452 | 1766 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| AAGACAAGTCCGTAGG-1 | Proj1rna | 4168 | 1926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| AAGCCACGTAACCTAG-1 | Proj1rna | 2459 | 1208 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| AAGCCTTAGGCATGAA-1 | Proj1rna | 4211 | 1908 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| AAGCGCTGTAAAGCGG-1 | Proj1rna | 3993 | 2143 | 0 | 0 | 0 | 0 | 0 | 4 | 4 |\n| AAGCGCTGTACGTTTC-1 | Proj1rna | 5370 | 2319 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| AAGCGGGTCGCATCCT-1 | Proj1rna | 3910 | 2064 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| AAGGAAGCAATTGCGC-1 | Proj1rna | 3525 | 1775 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| AAGGAAGCACAAAGCG-1 | Proj1rna | 2792 | 1577 | 0 | 0 | 1 | 3 | 3 | 5 | 5 |\n| AAGGAAGCAGGGAGGA-1 | Proj1rna | 4604 | 2424 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| AAGGAAGCAGGTTCAC-1 | Proj1rna | 3655 | 1850 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| AAGGCCCTCATTAGCA-1 | Proj1rna | 4475 | 1943 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| AAGGTGCAGCTAGAAG-1 | Proj1rna | 3775 | 2094 | 0 | 1 | 2 | 2 | 2 | 3 | 3 |\n| AAGTGAAGTTAAGGCC-1 | Proj1rna | 2846 | 1599 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| AAGTGTTGTGGTTCCC-1 | Proj1rna | 3189 | 1773 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n| TGTTTGTTCTTGCAGG-1 | Proj1rna | 3254 | 1751 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| TTAACTGAGCTTTGGG-1 | Proj1rna | 2028 |  992 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| TTAGAAGCACCCACAG-1 | Proj1rna | 4664 | 2141 | 0 | 0 | 0 | 0 | 0 | 4 | 4 |\n| TTAGCCTGTTATAGCG-1 | Proj1rna | 4221 | 1837 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| TTAGGATGTCGTAATG-1 | Proj1rna | 3876 | 2119 | 0 | 1 | 2 | 2 | 2 | 3 | 3 |\n| TTAGGCGTCCAGGTTG-1 | Proj1rna | 4164 | 2017 | 0 | 0 | 0 | 0 | 0 | 4 | 4 |\n| TTAGTCAAGGTCGAGG-1 | Proj1rna | 2556 | 1344 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTATGCGCAATTAACC-1 | Proj1rna | 4452 | 2287 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| TTATGCGCAGCAAGAT-1 | Proj1rna | 2496 | 1416 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| TTATGCGCATTGTGCA-1 | Proj1rna | 4346 | 2285 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTCATCCCAGGATTAA-1 | Proj1rna | 2512 | 1134 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| TTCCACGGTCCAAATG-1 | Proj1rna | 2363 | 1227 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTCCTCAAGCGTGCAC-1 | Proj1rna | 4662 | 2125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTCGTGCTCGCTTGCT-1 | Proj1rna | 3900 | 1824 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| TTCGTGCTCTTGGATA-1 | Proj1rna | 4906 | 2213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTCTTAGGTCTAACCT-1 | Proj1rna | 5625 | 2452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTCTTAGGTGGTTCCC-1 | Proj1rna | 4084 | 2264 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| TTGCTTAGTGCTGGTG-1 | Proj1rna | 5035 | 2426 | 0 | 0 | 1 | 1 | 1 | 2 | 2 |\n| TTGCTTAGTTGTTGTC-1 | Proj1rna | 3615 | 1566 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTGGCGGGTTTATGGG-1 | Proj1rna | 3462 | 1669 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| TTGGCTTGTCATTACC-1 | Proj1rna | 1705 |  874 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| TTGGGCGGTCACAGAC-1 | Proj1rna | 2953 | 1295 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTGTCAAAGGGTGGAT-1 | Proj1rna | 3488 | 1758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTGTCCATCCCTGTTA-1 | Proj1rna | 1914 | 1021 | 0 | 1 | 2 | 2 | 2 | 3 | 3 |\n| TTTCACCCAAACCCTA-1 | Proj1rna | 3813 | 2101 | 0 | 0 | 3 | 4 | 4 | 6 | 6 |\n| TTTCCGGGTTCTTTAG-1 | Proj1rna | 1940 |  948 | 0 | 0 | 0 | 0 | 0 | 4 | 4 |\n| TTTCGTCCATTAAAGG-1 | Proj1rna | 3840 | 1956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| TTTCTCACAGAACCGA-1 | Proj1rna | 2895 | 1346 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n| TTTGGTAAGACTAAGG-1 | Proj1rna | 5053 | 2366 | 0 | 1 | 2 | 2 | 2 | 3 | 3 |\n| TTTGGTAAGTTGCCTC-1 | Proj1rna | 2281 | 1210 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |\n\n","text/latex":"A data.frame: 508 × 10\n\\begin{tabular}{r|llllllllll}\n  & orig.ident & nCount\\_RNA & nFeature\\_RNA & percent.mt & RNA\\_snn\\_res.0.1 & RNA\\_snn\\_res.0.3 & RNA\\_snn\\_res.0.5 & RNA\\_snn\\_res.0.7 & RNA\\_snn\\_res.1 & seurat\\_clusters\\\\\n  & <fct> & <dbl> & <int> & <dbl> & <fct> & <fct> & <fct> & <fct> & <fct> & <fct>\\\\\n\\hline\n\tAAACATGCATGCATAT-1 & Proj1rna & 3574 & 1910 & 0 & 1 & 2 & 2 & 2 & 3 & 3\\\\\n\tAAACATGCATTCCTGT-1 & Proj1rna & 4205 & 2235 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tAAACGCGCAGCGCTTG-1 & Proj1rna & 4232 & 2243 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tAAACGCGCATTATGGT-1 & Proj1rna & 4622 & 2341 & 0 & 0 & 0 & 0 & 0 & 4 & 4\\\\\n\tAAACGTACAGGATAAC-1 & Proj1rna & 1827 & 1132 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tAAAGCCCGTATGTGGC-1 & Proj1rna & 3004 & 1602 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tAAAGCCCGTCACGGAT-1 & Proj1rna & 3043 & 1711 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tAAAGCCCGTCTTTATG-1 & Proj1rna & 3631 & 1708 & 0 & 2 & 3 & 4 & 4 & 6 & 6\\\\\n\tAAAGCCCGTTTAGTCC-1 & Proj1rna & 4081 & 2264 & 0 & 1 & 2 & 2 & 2 & 3 & 3\\\\\n\tAAAGCCGCACCCTCAC-1 & Proj1rna & 2124 & 1223 & 0 & 0 & 1 & 1 & 0 & 1 & 1\\\\\n\tAAAGCCGCACGTTACA-1 & Proj1rna & 3262 & 1715 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tAACAAAGGTTCCAGGG-1 & Proj1rna & 3896 & 1775 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tAACATCATCTCTAGCC-1 & Proj1rna & 3556 & 1735 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tAACTACTCAAGGTGCA-1 & Proj1rna & 3987 & 2051 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tAACTGTTCATCCCTCA-1 & Proj1rna & 4579 & 2012 & 0 & 0 & 0 & 0 & 0 & 4 & 4\\\\\n\tAACTTAGTCAATGAGG-1 & Proj1rna & 3452 & 1766 & 0 & 0 & 0 & 0 & 0 & 1 & 1\\\\\n\tAAGACAAGTCCGTAGG-1 & Proj1rna & 4168 & 1926 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tAAGCCACGTAACCTAG-1 & Proj1rna & 2459 & 1208 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tAAGCCTTAGGCATGAA-1 & Proj1rna & 4211 & 1908 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tAAGCGCTGTAAAGCGG-1 & Proj1rna & 3993 & 2143 & 0 & 0 & 0 & 0 & 0 & 4 & 4\\\\\n\tAAGCGCTGTACGTTTC-1 & Proj1rna & 5370 & 2319 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tAAGCGGGTCGCATCCT-1 & Proj1rna & 3910 & 2064 & 0 & 0 & 0 & 0 & 0 & 1 & 1\\\\\n\tAAGGAAGCAATTGCGC-1 & Proj1rna & 3525 & 1775 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tAAGGAAGCACAAAGCG-1 & Proj1rna & 2792 & 1577 & 0 & 0 & 1 & 3 & 3 & 5 & 5\\\\\n\tAAGGAAGCAGGGAGGA-1 & Proj1rna & 4604 & 2424 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tAAGGAAGCAGGTTCAC-1 & Proj1rna & 3655 & 1850 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tAAGGCCCTCATTAGCA-1 & Proj1rna & 4475 & 1943 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tAAGGTGCAGCTAGAAG-1 & Proj1rna & 3775 & 2094 & 0 & 1 & 2 & 2 & 2 & 3 & 3\\\\\n\tAAGTGAAGTTAAGGCC-1 & Proj1rna & 2846 & 1599 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tAAGTGTTGTGGTTCCC-1 & Proj1rna & 3189 & 1773 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\t⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n\tTGTTTGTTCTTGCAGG-1 & Proj1rna & 3254 & 1751 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tTTAACTGAGCTTTGGG-1 & Proj1rna & 2028 &  992 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tTTAGAAGCACCCACAG-1 & Proj1rna & 4664 & 2141 & 0 & 0 & 0 & 0 & 0 & 4 & 4\\\\\n\tTTAGCCTGTTATAGCG-1 & Proj1rna & 4221 & 1837 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tTTAGGATGTCGTAATG-1 & Proj1rna & 3876 & 2119 & 0 & 1 & 2 & 2 & 2 & 3 & 3\\\\\n\tTTAGGCGTCCAGGTTG-1 & Proj1rna & 4164 & 2017 & 0 & 0 & 0 & 0 & 0 & 4 & 4\\\\\n\tTTAGTCAAGGTCGAGG-1 & Proj1rna & 2556 & 1344 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTATGCGCAATTAACC-1 & Proj1rna & 4452 & 2287 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tTTATGCGCAGCAAGAT-1 & Proj1rna & 2496 & 1416 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tTTATGCGCATTGTGCA-1 & Proj1rna & 4346 & 2285 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTCATCCCAGGATTAA-1 & Proj1rna & 2512 & 1134 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tTTCCACGGTCCAAATG-1 & Proj1rna & 2363 & 1227 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTCCTCAAGCGTGCAC-1 & Proj1rna & 4662 & 2125 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTCGTGCTCGCTTGCT-1 & Proj1rna & 3900 & 1824 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tTTCGTGCTCTTGGATA-1 & Proj1rna & 4906 & 2213 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTCTTAGGTCTAACCT-1 & Proj1rna & 5625 & 2452 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTCTTAGGTGGTTCCC-1 & Proj1rna & 4084 & 2264 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tTTGCTTAGTGCTGGTG-1 & Proj1rna & 5035 & 2426 & 0 & 0 & 1 & 1 & 1 & 2 & 2\\\\\n\tTTGCTTAGTTGTTGTC-1 & Proj1rna & 3615 & 1566 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTGGCGGGTTTATGGG-1 & Proj1rna & 3462 & 1669 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tTTGGCTTGTCATTACC-1 & Proj1rna & 1705 &  874 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tTTGGGCGGTCACAGAC-1 & Proj1rna & 2953 & 1295 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTGTCAAAGGGTGGAT-1 & Proj1rna & 3488 & 1758 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTGTCCATCCCTGTTA-1 & Proj1rna & 1914 & 1021 & 0 & 1 & 2 & 2 & 2 & 3 & 3\\\\\n\tTTTCACCCAAACCCTA-1 & Proj1rna & 3813 & 2101 & 0 & 0 & 3 & 4 & 4 & 6 & 6\\\\\n\tTTTCCGGGTTCTTTAG-1 & Proj1rna & 1940 &  948 & 0 & 0 & 0 & 0 & 0 & 4 & 4\\\\\n\tTTTCGTCCATTAAAGG-1 & Proj1rna & 3840 & 1956 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n\tTTTCTCACAGAACCGA-1 & Proj1rna & 2895 & 1346 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\tTTTGGTAAGACTAAGG-1 & Proj1rna & 5053 & 2366 & 0 & 1 & 2 & 2 & 2 & 3 & 3\\\\\n\tTTTGGTAAGTTGCCTC-1 & Proj1rna & 2281 & 1210 & 0 & 0 & 1 & 1 & 1 & 1 & 1\\\\\n\\end{tabular}\n"},"metadata":{}}]},{"cell_type":"code","source":"DimPlot(seurat, group.by = \"RNA_snn_res.0.1\", label = TRUE)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T07:01:09.914084Z","iopub.execute_input":"2023-11-08T07:01:09.916047Z","iopub.status.idle":"2023-11-08T07:01:10.393236Z"},"trusted":true},"execution_count":56,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nGtQrNMjfoHBvv8DOvQZfd9sj360/ufaDv3TorTkCe07dkpL05b+fvm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lq4SZadYhKK0kISsmn9/6g45nujgkAAFoGiR3A+SirmHafqb4U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CQAA/BW+F3YlFBo9dNHgd/vOnlT3lsSB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\n/wO2fLwi8xl+HQAAAABJRU5ErkJggg=="},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"code","source":"DimPlot(seurat, group.by = \"RNA_snn_res.0.7\", label = TRUE)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T07:00:26.474440Z","iopub.execute_input":"2023-11-08T07:00:26.476438Z","iopub.status.idle":"2023-11-08T07:00:27.018378Z"},"trusted":true},"execution_count":55,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nDYUB7ijq+yx65yKfQnvV6tdy3N1vghQxd1JCk/3cRj0/3fM6Z9EsR9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MkmC7V6QbjQaoAAN0beuwATlHVX9rNvzvUOk4qOY+plfOsjgw8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B42aPHXqE1FWVfpTAAAAJuB/wS6i4SuG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\nRU5ErkJggg=="},"metadata":{"image/png":{"width":420,"height":420}}}]},{"cell_type":"code","source":"# setting Identity of clusters\nIdents(seurat)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T07:01:51.229325Z","iopub.execute_input":"2023-11-08T07:01:51.232100Z","iopub.status.idle":"2023-11-08T07:01:51.286898Z"},"trusted":true},"execution_count":57,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.dl-inline {width: auto; margin:0; padding: 0}\n.dl-inline>dt, .dl-inline>dd {float: none; width: auto; display: inline-block}\n.dl-inline>dt::after {content: \":\\0020\"; padding-right: .5ex}\n.dl-inline>dt:not(:first-of-type) {padding-left: .5ex}\n</style><dl class=dl-inline><dt>AAACATGCATGCATAT-1</dt><dd>3</dd><dt>AAACATGCATTCCTGT-1</dt><dd>1</dd><dt>AAACGCGCAGCGCTTG-1</dt><dd>2</dd><dt>AAACGCGCATTATGGT-1</dt><dd>4</dd><dt>AAACGTACAGGATAAC-1</dt><dd>2</dd><dt>AAAGCCCGTATGTGGC-1</dt><dd>2</dd><dt>AAAGCCCGTCACGGAT-1</dt><dd>2</dd><dt>AAAGCCCGTCTTTATG-1</dt><dd>6</dd><dt>AAAGCCCGTTTAGTCC-1</dt><dd>3</dd><dt>AAAGCCGCACCCTCAC-1</dt><dd>1</dd><dt>AAAGCCGCACGTTACA-1</dt><dd>2</dd><dt>AACAAAGGTTCCAGGG-1</dt><dd>0</dd><dt>AACATCATCTCTAGCC-1</dt><dd>2</dd><dt>AACTACTCAAGGTGCA-1</dt><dd>2</dd><dt>AACTGTTCATCCCTCA-1</dt><dd>4</dd><dt>AACTTAGTCAATGAGG-1</dt><dd>1</dd><dt>AAGACAAGTCCGTAGG-1</dt><dd>0</dd><dt>AAGCCACGTAACCTAG-1</dt><dd>1</dd><dt>AAGCCTTAGGCATGAA-1</dt><dd>0</dd><dt>AAGCGCTGTAAAGCGG-1</dt><dd>4</dd><dt>AAGCGCTGTACGTTTC-1</dt><dd>0</dd><dt>AAGCGGGTCGCATCCT-1</dt><dd>1</dd><dt>AAGGAAGCAATTGCGC-1</dt><dd>2</dd><dt>AAGGAAGCACAAAGCG-1</dt><dd>5</dd><dt>AAGGAAGCAGGGAGGA-1</dt><dd>1</dd><dt>AAGGAAGCAGGTTCAC-1</dt><dd>2</dd><dt>AAGGCCCTCATTAGCA-1</dt><dd>0</dd><dt>AAGGTGCAGCTAGAAG-1</dt><dd>3</dd><dt>AAGTGAAGTTAAGGCC-1</dt><dd>1</dd><dt>AAGTGTTGTGGTTCCC-1</dt><dd>1</dd><dt>AATCCTAAGCATGACT-1</dt><dd>0</dd><dt>AATCTTGAGCCTGATG-1</dt><dd>6</dd><dt>AATGGCGCAAACCCTA-1</dt><dd>3</dd><dt>AATTGCCAGCGAGGTG-1</dt><dd>0</dd><dt>AATTTGGTCACTCGCT-1</dt><dd>5</dd><dt>ACAACATGTTGGATAT-1</dt><dd>2</dd><dt>ACACTTGCAATAGTCT-1</dt><dd>3</dd><dt>ACACTTGCATTGCGGT-1</dt><dd>1</dd><dt>ACAGCCGGTCTTGCTG-1</dt><dd>5</dd><dt>ACAGCGCTCTACCTCA-1</dt><dd>6</dd><dt>ACAGTATGTCTTGCTG-1</dt><dd>3</dd><dt>ACATTGCAGGAGTAAT-1</dt><dd>1</dd><dt>ACATTGCAGGTACCGC-1</dt><dd>3</dd><dt>ACCAAGTTCCTAAGTA-1</dt><dd>3</dd><dt>ACCACATAGAGCCGGA-1</dt><dd>1</dd><dt>ACCCAACCAGGTTTGC-1</dt><dd>0</dd><dt>ACCCGCTGTAACGAGG-1</dt><dd>2</dd><dt>ACCCGCTGTAGCCTCC-1</dt><dd>2</dd><dt>ACCCGCTGTTAGGTTG-1</dt><dd>4</dd><dt>ACCCGGTAGACTCGCA-1</dt><dd>0</dd><dt>ACCCTCCCAAGCCAGA-1</dt><dd>2</dd><dt>ACCGGTTCAGCATTAT-1</dt><dd>5</dd><dt>ACCTCACTCAAGACTC-1</dt><dd>1</dd><dt>ACCTGGATCGTCATTT-1</dt><dd>1</dd><dt>ACGAACAAGCGCTAAT-1</dt><dd>1</dd><dt>ACGCAAGCAGTTTGGC-1</dt><dd>2</dd><dt>ACGCCACAGGACTAAG-1</dt><dd>1</dd><dt>ACGCCTAAGTCGCAAT-1</dt><dd>1</dd><dt>ACTAACCAGGATCCGC-1</dt><dd>1</dd><dt>ACTAACGGTGGAAACG-1</dt><dd>0</dd><dt>ACTATCCGTACTAAAC-1</dt><dd>5</dd><dt>ACTCGCTTCAATACGC-1</dt><dd>0</dd><dt>ACTTAGTCAGGTCCTG-1</dt><dd>0</dd><dt>ACTTATGAGTTACTTC-1</dt><dd>3</dd><dt>ACTTGTCGTATGTGGC-1</dt><dd>3</dd><dt>AGAATCGAGTATGTGC-1</dt><dd>6</dd><dt>AGACTATGTACTAAAC-1</dt><dd>2</dd><dt>AGACTATGTTTCCTCC-1</dt><dd>1</dd><dt>AGATGAAGTTAGCGTA-1</dt><dd>0</dd><dt>AGCAACAAGCGTGCAC-1</dt><dd>1</dd><dt>AGCAATACAACACCTA-1</dt><dd>4</dd><dt>AGCCTAAGTCGCATAA-1</dt><dd>0</dd><dt>AGCCTAGTCATCCTAT-1</dt><dd>0</dd><dt>AGCGGACCACAAGCCT-1</dt><dd>5</dd><dt>AGCGGATAGGACTAAG-1</dt><dd>1</dd><dt>AGCTAGTTCAGGTTTA-1</dt><dd>1</dd><dt>AGCTCATAGAAAGCAT-1</dt><dd>1</dd><dt>AGCTTCCTCCGTTATT-1</dt><dd>2</dd><dt>AGCTTGGTCACTCAAA-1</dt><dd>3</dd><dt>AGGAAACGTTAAGTGT-1</dt><dd>2</dd><dt>AGGAACCAGATACTTG-1</dt><dd>2</dd><dt>AGGAACGGTTGCAGTA-1</dt><dd>2</dd><dt>AGGATGCAGGGATGAC-1</dt><dd>4</dd><dt>AGGTAACCATGTCGCG-1</dt><dd>1</dd><dt>AGGTGAATCTTAGTCT-1</dt><dd>0</dd><dt>AGTAAACAGCTTCTCA-1</dt><dd>1</dd><dt>AGTAGCTTCGGTTACG-1</dt><dd>4</dd><dt>AGTAGGATCCTAAGAC-1</dt><dd>0</dd><dt>AGTCGCATCAAGCTTA-1</dt><dd>0</dd><dt>AGTCGCATCCTCCATA-1</dt><dd>0</dd><dt>AGTGAACCATGGTTAT-1</dt><dd>4</dd><dt>AGTGCCGGTCCTGATT-1</dt><dd>6</dd><dt>AGTGGACAGGACTTAC-1</dt><dd>3</dd><dt>AGTGTGGCAGCAAGTG-1</dt><dd>3</dd><dt>AGTTGGCGTTACGCAA-1</dt><dd>1</dd><dt>AGTTGTCAGCCAAATC-1</dt><dd>3</dd><dt>ATATAGGCAATTGCGC-1</dt><dd>1</dd><dt>ATCAATCCACCATATG-1</dt><dd>0</dd><dt>ATCCCGCGTTAGAGCC-1</dt><dd>3</dd><dt>ATCCGTGAGGAGCATA-1</dt><dd>3</dd><dt>ATCCTTAGTACGATTG-1</dt><dd>1</dd><dt>ATCGCTTGTTGAAGCC-1</dt><dd>4</dd><dt>ATGATGACAGACAAAC-1</dt><dd>0</dd><dt>ATGATGACATTATGGT-1</dt><dd>1</dd><dt>ATGGCCGGTCTTTATG-1</dt><dd>2</dd><dt>ATTACGTCACTGACCG-1</dt><dd>1</dd><dt>ATTATGGTCGCCTAAG-1</dt><dd>4</dd><dt>ATTCATGAGAGGGACT-1</dt><dd>0</dd><dt>ATTCCTAGTCCACAAA-1</dt><dd>2</dd><dt>ATTGCAGGTCAGGCCA-1</dt><dd>0</dd><dt>ATTGCTCGTAATTAGC-1</dt><dd>0</dd><dt>CAAACATGTAATGACT-1</dt><dd>0</dd><dt>CAAACTGGTGCCGCAA-1</dt><dd>3</dd><dt>CAAATCATCTACTAAG-1</dt><dd>0</dd><dt>CAACCGGGTACAAAGA-1</dt><dd>6</dd><dt>CAACCGGGTCTTGCAT-1</dt><dd>3</dd><dt>CAACCGGGTTCCTGAT-1</dt><dd>2</dd><dt>CAACCGGGTTGTGACA-1</dt><dd>5</dd><dt>CAAGGCTGTCGCAATA-1</dt><dd>4</dd><dt>CAAGGCTGTCTTGCTG-1</dt><dd>3</dd><dt>CAAGGGAGTACTAAAC-1</dt><dd>2</dd><dt>CAAGTATGTACTAAAC-1</dt><dd>5</dd><dt>CAAGTGAAGCACAGAA-1</dt><dd>4</dd><dt>CAATCTAAGGAGGCAT-1</dt><dd>4</dd><dt>CAATGACTCCAAGTTA-1</dt><dd>0</dd><dt>CAATGACTCTTGCAGG-1</dt><dd>0</dd><dt>CAATGTCAGGTAAGCA-1</dt><dd>3</dd><dt>CACAAGCGTTTCCACG-1</dt><dd>2</dd><dt>CACAATATCGTAACGT-1</dt><dd>3</dd><dt>CACATAATCGCACAAT-1</dt><dd>3</dd><dt>CACATAATCTAGCGAT-1</dt><dd>0</dd><dt>CACATAATCTGGCTTC-1</dt><dd>1</dd><dt>CACATGCCACAGGAAT-1</dt><dd>2</dd><dt>CACATTAAGTGCTGTG-1</dt><dd>4</dd><dt>CACTAAGGTAGTTACG-1</dt><dd>5</dd><dt>CACTAAGGTGAGAAAC-1</dt><dd>3</dd><dt>CACTTTGTCCTGATGG-1</dt><dd>4</dd><dt>CAGAACCGTCGTTATC-1</dt><dd>4</dd><dt>CAGCAAGCAATATGGA-1</dt><dd>0</dd><dt>CAGCAAGCAGTAAGTA-1</dt><dd>2</dd><dt>CAGCCTTTCACCTGCT-1</dt><dd>0</dd><dt>CATAACGGTGAGGTAG-1</dt><dd>3</dd><dt>CATAAGCTCGCACACA-1</dt><dd>0</dd><dt>CATAGCTAGTTACTTC-1</dt><dd>3</dd><dt>CATAGTCAGTTACTTC-1</dt><dd>3</dd><dt>CATCAGCCAATAGTCT-1</dt><dd>1</dd><dt>CATCAGCCAATCATGT-1</dt><dd>2</dd><dt>CATCAGCCAGGATGGC-1</dt><dd>2</dd><dt>CATCCTCAGAGAGGAG-1</dt><dd>3</dd><dt>CATCCTTCAAGGAATC-1</dt><dd>2</dd><dt>CATCCTTCACAGGGAC-1</dt><dd>2</dd><dt>CATCCTTCACCTACGG-1</dt><dd>1</dd><dt>CATCCTTCACCTGTAA-1</dt><dd>1</dd><dt>CATGAGGCAAATATCC-1</dt><dd>1</dd><dt>CATGAGGCATTGCGAC-1</dt><dd>4</dd><dt>CATTATCTCAGTGAAG-1</dt><dd>3</dd><dt>CATTGCGAGCTAGAAG-1</dt><dd>2</dd><dt>CATTGTGCAGCAAGTG-1</dt><dd>0</dd><dt>CCAACCAAGTTACTTC-1</dt><dd>5</dd><dt>CCAACCCGTATGTGGC-1</dt><dd>6</dd><dt>CCAATATCATTCCTCG-1</dt><dd>4</dd><dt>CCACTTGGTCATCCTG-1</dt><dd>3</dd><dt>CCAGACTCAAAGCGCA-1</dt><dd>0</dd><dt>CCAGGATGTTACAAAC-1</dt><dd>3</dd><dt>CCATAGCCAATGAGGT-1</dt><dd>2</dd><dt>CCATATTTCGGTTAGT-1</dt><dd>1</dd><dt>CCATTATTCCTTGTTG-1</dt><dd>2</dd><dt>CCCAGCACAGGCAAGC-1</dt><dd>0</dd><dt>CCCATAACATGAGTTT-1</dt><dd>3</dd><dt>CCCTTAATCACAGCGC-1</dt><dd>1</dd><dt>CCCTTAATCTCAATTC-1</dt><dd>1</dd><dt>CCGCTAAAGGCCGGAA-1</dt><dd>0</dd><dt>CCGGTAGGTTACGCAA-1</dt><dd>0</dd><dt>CCGGTTAAGTTTGGGT-1</dt><dd>3</dd><dt>CCGTTGCGTGCAATAT-1</dt><dd>2</dd><dt>CCTAAAGGTTGCAGTA-1</dt><dd>1</dd><dt>CCTAAGCCATAATCAC-1</dt><dd>1</dd><dt>CCTAATAAGAGGAAGG-1</dt><dd>1</dd><dt>CCTAATAAGTATGTGC-1</dt><dd>1</dd><dt>CCTAGTTGTCTTTATG-1</dt><dd>1</dd><dt>CCTCCTCTCGTCCTTA-1</dt><dd>1</dd><dt>CCTGGATCAGGACCTT-1</dt><dd>1</dd><dt>CCTTACTCAGGCTACT-1</dt><dd>0</dd><dt>CCTTCGGTCCAAGTTA-1</dt><dd>1</dd><dt>CCTTCGGTCTGTGCAG-1</dt><dd>2</dd><dt>CCTTGCGTCATTATGG-1</dt><dd>4</dd><dt>CGAAATGAGGTCGAGG-1</dt><dd>4</dd><dt>CGAACCGGTAACAGGG-1</dt><dd>4</dd><dt>CGATGTCCAGGTTATT-1</dt><dd>3</dd><dt>CGATTGAGTAGACAAA-1</dt><dd>4</dd><dt>CGCAAATTCACAAGCT-1</dt><dd>3</dd><dt>CGCACACAGTATGTGC-1</dt><dd>2</dd><dt>CGCATATAGATGGAGC-1</dt><dd>0</dd><dt>CGCATATAGCATTAGC-1</dt><dd>4</dd><dt>CGCATATAGCTTAGTA-1</dt><dd>4</dd><dt>CGCCAAATCCAATAGC-1</dt><dd>1</dd><dt>CGCTAATAGATTGAGG-1</dt><dd>3</dd><dt>CGCTACTTCCAATAGC-1</dt><dd>1</dd><dt>CGCTTAACATTAAAGG-1</dt><dd>3</dd><dt>CGCTTGCGTATGTGGC-1</dt><dd>2</dd><dt>CGGAATCGTACCGAAC-1</dt><dd>⋯</dd><dt>CGGATAAAGTCTATGA-1</dt><dd>1</dd><dt>CGGCCATAGCGGATTT-1</dt><dd>1</dd><dt>CGGCTAATCCTTCAAT-1</dt><dd>4</dd><dt>CGGCTAATCTGTGCCT-1</dt><dd>1</dd><dt>CGGTTATAGGCTACTG-1</dt><dd>0</dd><dt>CGGTTCCGTTAAGCCA-1</dt><dd>1</dd><dt>CGTAGTTAGCAACAAG-1</dt><dd>4</dd><dt>CGTAGTTAGTTGCGTG-1</dt><dd>2</dd><dt>CGTATTGCAGGCTGTT-1</dt><dd>4</dd><dt>CGTGCTGCATCCCGCT-1</dt><dd>0</dd><dt>CGTGTTACAAAGGTAC-1</dt><dd>1</dd><dt>CGTTATCGTTAAATGC-1</dt><dd>4</dd><dt>CGTTATTTCCCTCAAC-1</dt><dd>3</dd><dt>CGTTGCAAGTCGCAAT-1</dt><dd>6</dd><dt>CTAAGGTTCCTTCAAT-1</dt><dd>3</dd><dt>CTACCGGCACCCACAG-1</dt><dd>2</dd><dt>CTAGTCGAGCATTTCT-1</dt><dd>0</dd><dt>CTAGTTGCACTAAGTT-1</dt><dd>4</dd><dt>CTATGACAGATAGACG-1</dt><dd>4</dd><dt>CTATGAGGTTGCATCT-1</dt><dd>3</dd><dt>CTATGAGGTTTCCACG-1</dt><dd>6</dd><dt>CTATGATCATTGCGTA-1</dt><dd>3</dd><dt>CTCACTCAGGTGAAAT-1</dt><dd>2</dd><dt>CTCCTCACAATGCCTA-1</dt><dd>1</dd><dt>CTCGTTATCACGCCAA-1</dt><dd>0</dd><dt>CTCTCACAGCGCTAAT-1</dt><dd>4</dd><dt>CTGACCAAGGACCAGG-1</dt><dd>4</dd><dt>CTGGCTTTCAATGACC-1</dt><dd>3</dd><dt>CTGGCTTTCGCTATAA-1</dt><dd>0</dd><dt>CTGGTCAAGTTACTTC-1</dt><dd>0</dd><dt>CTGGTTACAATAGTCT-1</dt><dd>3</dd><dt>CTGTTGGAGGTCCAAT-1</dt><dd>1</dd><dt>CTTAAGATCCTTCAAT-1</dt><dd>2</dd><dt>CTTCACTCACAATACT-1</dt><dd>0</dd><dt>CTTCGCGTCAGCACCA-1</dt><dd>4</dd><dt>CTTCTCAAGGACCTGC-1</dt><dd>2</dd><dt>CTTCTCAAGTTATCCT-1</dt><dd>3</dd><dt>CTTGACGAGCGATAGA-1</dt><dd>0</dd><dt>CTTGCTCAGTTTGGTA-1</dt><dd>3</dd><dt>CTTTAGTTCAAGTGTC-1</dt><dd>3</dd><dt>CTTTAGTTCACTCAAA-1</dt><dd>2</dd><dt>CTTTATCAGCACAGAA-1</dt><dd>0</dd><dt>CTTTATCAGTTATCCT-1</dt><dd>6</dd><dt>CTTTATCAGTTTGGTA-1</dt><dd>0</dd><dt>CTTTATGGTTGTCCAT-1</dt><dd>0</dd><dt>GAAACCCGTTAAGTGT-1</dt><dd>4</dd><dt>GAAACCCGTTACTAGG-1</dt><dd>5</dd><dt>GAAGCCTGTTATTGCC-1</dt><dd>3</dd><dt>GAAGTCAAGCCAGGTC-1</dt><dd>1</dd><dt>GAATTTGTCCCGTTAC-1</dt><dd>0</dd><dt>GACAATACAGCCTGCA-1</dt><dd>3</dd><dt>GACACTAGTTTGCGAA-1</dt><dd>1</dd><dt>GACATTATCCTTAGGG-1</dt><dd>0</dd><dt>GACGTAAAGTAAACCC-1</dt><dd>3</dd><dt>GACTAATGTTTAGTCC-1</dt><dd>0</dd><dt>GAGAACCAGTCGCAAT-1</dt><dd>1</dd><dt>GAGATAAGTCTTTATG-1</dt><dd>6</dd><dt>GAGCTTAGTATGTGGC-1</dt><dd>0</dd><dt>GAGGCTACAATTAAGG-1</dt><dd>1</dd><dt>GAGGTACAGGACCAGG-1</dt><dd>5</dd><dt>GAGGTAGGTTGCGTAA-1</dt><dd>0</dd><dt>GAGTAATAGGTCGATT-1</dt><dd>1</dd><dt>GAGTCATTCGGGCCAT-1</dt><dd>1</dd><dt>GAGTTTGGTTGTGACA-1</dt><dd>0</dd><dt>GATAATCGTACTGAAT-1</dt><dd>0</dd><dt>GATGCATTCACAGACT-1</dt><dd>2</dd><dt>GATTACGGTACCGGAT-1</dt><dd>0</dd><dt>GATTAGCTCTCGCCCA-1</dt><dd>0</dd><dt>GATTCAATCGGTCAAT-1</dt><dd>2</dd><dt>GATTCATCATTATCCC-1</dt><dd>4</dd><dt>GATTCGCCAATTTGGT-1</dt><dd>0</dd><dt>GATTGCAGTACGGGTT-1</dt><dd>4</dd><dt>GATTTGCAGCGGTTAT-1</dt><dd>0</dd><dt>GATTTGCAGGTGAAAT-1</dt><dd>0</dd><dt>GCAAACTTCGGCCATA-1</dt><dd>2</dd><dt>GCAGCAACATAGTCAT-1</dt><dd>3</dd><dt>GCAGGATAGATTCCTT-1</dt><dd>1</dd><dt>GCAGGCAAGATAAAGC-1</dt><dd>2</dd><dt>GCAGGCTTCATTTAGG-1</dt><dd>3</dd><dt>GCATCCTTCCGTCCAT-1</dt><dd>4</dd><dt>GCATCCTTCCTGTTCA-1</dt><dd>2</dd><dt>GCATGAAAGGCGCACT-1</dt><dd>1</dd><dt>GCATTAGGTTTGTCTA-1</dt><dd>3</dd><dt>GCCAACATCTGTTCAT-1</dt><dd>0</dd><dt>GCCCTCATCACGCATG-1</dt><dd>0</dd><dt>GCCCTCATCCGCCTCA-1</dt><dd>5</dd><dt>GCCCTCATCGTTACAA-1</dt><dd>1</dd><dt>GCCTCAAAGCCAGGTC-1</dt><dd>6</dd><dt>GCCTCCATCCTTGCAC-1</dt><dd>5</dd><dt>GCCTCCATCTAACCTT-1</dt><dd>0</dd><dt>GCCTGAGGTTGTAACG-1</dt><dd>0</dd><dt>GCCTTAGAGCCTGGTA-1</dt><dd>2</dd><dt>GCGAAGCCAATCGCAC-1</dt><dd>2</dd><dt>GCGAAGTAGAAAGGAA-1</dt><dd>4</dd><dt>GCGAGTGAGGACTAAG-1</dt><dd>5</dd><dt>GCGCGATTCCAAGTTA-1</dt><dd>1</dd><dt>GCGCTTGCAGGAACAT-1</dt><dd>2</dd><dt>GCGTTTCTCCTAAGTA-1</dt><dd>3</dd><dt>GCTAACAGTAGCCTAA-1</dt><dd>3</dd><dt>GCTAACAGTAGCTGGT-1</dt><dd>0</dd><dt>GCTAACAGTATTGGAT-1</dt><dd>1</dd><dt>GCTAAGCGTGCAACTA-1</dt><dd>1</dd><dt>GCTCATTGTTAAGCCA-1</dt><dd>3</dd><dt>GCTCCTTAGGACCAGG-1</dt><dd>0</dd><dt>GCTGAGGAGGGTCTAT-1</dt><dd>4</dd><dt>GCTGGATGTCCTAATC-1</dt><dd>4</dd><dt>GCTGGTTCAACAGGTG-1</dt><dd>1</dd><dt>GCTGTAAGTCATAAGT-1</dt><dd>2</dd><dt>GCTTCGCGTTAAGGTT-1</dt><dd>2</dd><dt>GGACAGCCAGCAATAA-1</dt><dd>0</dd><dt>GGACTAAAGTCGCAAT-1</dt><dd>4</dd><dt>GGAGCAAGTATTTGCC-1</dt><dd>4</dd><dt>GGAGCGATCCCGTTAC-1</dt><dd>1</dd><dt>GGAGTGAGTCGTTATC-1</dt><dd>0</dd><dt>GGCAAATCAACTCGCG-1</dt><dd>0</dd><dt>GGCAAATCATCCTAGA-1</dt><dd>2</dd><dt>GGCAAGCCAGGCAAGC-1</dt><dd>0</dd><dt>GGCAGGATCAGGAAGC-1</dt><dd>4</dd><dt>GGCATTGTCATGAGCT-1</dt><dd>0</dd><dt>GGCCAGTTCATGCTTT-1</dt><dd>3</dd><dt>GGCCAGTTCCCTCAAC-1</dt><dd>4</dd><dt>GGCCAGTTCCCTCAGT-1</dt><dd>3</dd><dt>GGCCAGTTCGTCAAGT-1</dt><dd>0</dd><dt>GGCCATCAGAGGGACT-1</dt><dd>4</dd><dt>GGCCTTCGTTGCAGTA-1</dt><dd>0</dd><dt>GGCTGTCAGCGCATTG-1</dt><dd>1</dd><dt>GGGATAATCAGCTAAC-1</dt><dd>0</dd><dt>GGGATAATCCTTAGTT-1</dt><dd>1</dd><dt>GGGATAATCTAAGTCA-1</dt><dd>1</dd><dt>GGGATAATCTCGCCCA-1</dt><dd>0</dd><dt>GGGATTAAGTCGCAAT-1</dt><dd>1</dd><dt>GGGTTTGTCGCAAACT-1</dt><dd>1</dd><dt>GGTACAAAGGCATGAA-1</dt><dd>5</dd><dt>GGTACTTAGTAACTCA-1</dt><dd>3</dd><dt>GGTCCGTAGGATTGAG-1</dt><dd>3</dd><dt>GGTGTCCAGGGTTAGA-1</dt><dd>4</dd><dt>GGTTCTTGTAACGTGC-1</dt><dd>0</dd><dt>GGTTCTTGTCTTTATG-1</dt><dd>0</dd><dt>GGTTGACGTATGTGGC-1</dt><dd>1</dd><dt>GGTTGACGTGTTGCAA-1</dt><dd>2</dd><dt>GTAAGCAAGGAACCAA-1</dt><dd>6</dd><dt>GTAAGCAAGGGCTAAA-1</dt><dd>0</dd><dt>GTACCTTGTGTCACGG-1</dt><dd>0</dd><dt>GTACGTAGTTTCCGGC-1</dt><dd>4</dd><dt>GTACTTAAGGAACCAA-1</dt><dd>2</dd><dt>GTAGCCATCAGGCCTA-1</dt><dd>2</dd><dt>GTAGCCATCTAACCAA-1</dt><dd>0</dd><dt>GTAGCCATCTGTGAGT-1</dt><dd>2</dd><dt>GTAGGTGCAAACCTAT-1</dt><dd>2</dd><dt>GTAGTTATCGCTAGTG-1</dt><dd>2</dd><dt>GTAGTTTCACGAATCC-1</dt><dd>0</dd><dt>GTCCATTGTTAAGCGC-1</dt><dd>0</dd><dt>GTCCTAGAGTTCCTCA-1</dt><dd>2</dd><dt>GTCCTCAGTCACGGAT-1</dt><dd>2</dd><dt>GTCGAAGCATTCAGCA-1</dt><dd>1</dd><dt>GTGAGGAGTAATGACT-1</dt><dd>2</dd><dt>GTGCGGTTCATAAGCC-1</dt><dd>3</dd><dt>GTGCTCCGTACTGATG-1</dt><dd>4</dd><dt>GTGTAACTCAAACACC-1</dt><dd>0</dd><dt>GTGTGTTAGCTCATAA-1</dt><dd>1</dd><dt>GTTAAACGTGTTAGCA-1</dt><dd>0</dd><dt>GTTAACGGTACGGTAC-1</dt><dd>0</dd><dt>GTTAACGGTCAAGACC-1</dt><dd>0</dd><dt>GTTAACGGTCTTTATG-1</dt><dd>1</dd><dt>GTTAAGTGTTAGCAGC-1</dt><dd>0</dd><dt>GTTAATGTCTTAATGG-1</dt><dd>2</dd><dt>GTTACTAAGCACTAAC-1</dt><dd>1</dd><dt>GTTACTCGTTCCGCAC-1</dt><dd>1</dd><dt>GTTAGGCGTTAGTACG-1</dt><dd>4</dd><dt>GTTCACCTCCCTGACT-1</dt><dd>3</dd><dt>GTTCTTAGTTACATCC-1</dt><dd>2</dd><dt>GTTCTTGTCGAAGTGA-1</dt><dd>1</dd><dt>GTTGCCCGTAGCCTAA-1</dt><dd>4</dd><dt>GTTGGCCAGGGATTAG-1</dt><dd>1</dd><dt>GTTTACCGTTCCGCAC-1</dt><dd>3</dd><dt>GTTTGCTGTACGGGTT-1</dt><dd>4</dd><dt>GTTTGTAAGTAAGTGG-1</dt><dd>0</dd><dt>GTTTGTCGTCATGAGC-1</dt><dd>1</dd><dt>TAAGCTGGTTCGGTAA-1</dt><dd>2</dd><dt>TAATCCGCAAAGGTAC-1</dt><dd>0</dd><dt>TACAAGCTCATTACAG-1</dt><dd>1</dd><dt>TACCAGGTCTTGTCCA-1</dt><dd>0</dd><dt>TACCGAAGTGCTTACT-1</dt><dd>0</dd><dt>TACCGAAGTTCGGGAT-1</dt><dd>1</dd><dt>TACCGAAGTTGGTGAC-1</dt><dd>0</dd><dt>TAGACCAGTCAAGTAT-1</dt><dd>0</dd><dt>TAGACCAGTTGCAATG-1</dt><dd>1</dd><dt>TAGAGCCGTCCTGATT-1</dt><dd>2</dd><dt>TAGAGCCGTGCTCCAC-1</dt><dd>0</dd><dt>TAGAGCCGTTACAAAC-1</dt><dd>1</dd><dt>TAGCAGGCATAGCTTG-1</dt><dd>1</dd><dt>TAGCTTGCAGCTTAGC-1</dt><dd>0</dd><dt>TAGGAACCACTTCACT-1</dt><dd>0</dd><dt>TAGGAGTCACTTGTTC-1</dt><dd>3</dd><dt>TAGGAGTCATCTAGCA-1</dt><dd>6</dd><dt>TAGGTGCGTAGCCTCC-1</dt><dd>4</dd><dt>TAGTAACGTCCAAATG-1</dt><dd>0</dd><dt>TAGTACGGTCGCAATA-1</dt><dd>1</dd><dt>TAGTGTGGTTAAGCTG-1</dt><dd>3</dd><dt>TATAGCTCAAGCGATG-1</dt><dd>1</dd></dl>\n\n<details>\n\t<summary style=display:list-item;cursor:pointer>\n\t\t<strong>Levels</strong>:\n\t</summary>\n\t<style>\n\t.list-inline {list-style: none; margin:0; padding: 0}\n\t.list-inline>li {display: inline-block}\n\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n\t</style>\n\t<ol class=list-inline><li>'0'</li><li>'1'</li><li>'2'</li><li>'3'</li><li>'4'</li><li>'5'</li><li>'6'</li></ol>\n</details>","text/markdown":"AAACATGCATGCATAT-1\n:   3AAACATGCATTCCTGT-1\n:   1AAACGCGCAGCGCTTG-1\n:   2AAACGCGCATTATGGT-1\n:   4AAACGTACAGGATAAC-1\n:   2AAAGCCCGTATGTGGC-1\n:   2AAAGCCCGTCACGGAT-1\n:   2AAAGCCCGTCTTTATG-1\n:   6AAAGCCCGTTTAGTCC-1\n:   3AAAGCCGCACCCTCAC-1\n:   1AAAGCCGCACGTTACA-1\n:   2AACAAAGGTTCCAGGG-1\n:   0AACATCATCTCTAGCC-1\n:   2AACTACTCAAGGTGCA-1\n:   2AACTGTTCATCCCTCA-1\n:   4AACTTAGTCAATGAGG-1\n:   1AAGACAAGTCCGTAGG-1\n:   0AAGCCACGTAACCTAG-1\n:   1AAGCCTTAGGCATGAA-1\n:   0AAGCGCTGTAAAGCGG-1\n:   4AAGCGCTGTACGTTTC-1\n:   0AAGCGGGTCGCATCCT-1\n:   1AAGGAAGCAATTGCGC-1\n:   2AAGGAAGCACAAAGCG-1\n:   5AAGGAAGCAGGGAGGA-1\n:   1AAGGAAGCAGGTTCAC-1\n:   2AAGGCCCTCATTAGCA-1\n:   0AAGGTGCAGCTAGAAG-1\n:   3AAGTGAAGTTAAGGCC-1\n:   1AAGTGTTGTGGTTCCC-1\n:   1AATCCTAAGCATGACT-1\n:   0AATCTTGAGCCTGATG-1\n:   6AATGGCGCAAACCCTA-1\n:   3AATTGCCAGCGAGGTG-1\n:   0AATTTGGTCACTCGCT-1\n:   5ACAACATGTTGGATAT-1\n:   2ACACTTGCAATAGTCT-1\n:   3ACACTTGCATTGCGGT-1\n:   1ACAGCCGGTCTTGCTG-1\n:   5ACAGCGCTCTACCTCA-1\n:   6ACAGTATGTCTTGCTG-1\n:   3ACATTGCAGGAGTAAT-1\n:   1ACATTGCAGGTACCGC-1\n:   3ACCAAGTTCCTAAGTA-1\n:   3ACCACATAGAGCCGGA-1\n:   1ACCCAACCAGGTTTGC-1\n:   0ACCCGCTGTAACGAGG-1\n:   2ACCCGCTGTAGCCTCC-1\n:   2ACCCGCTGTTAGGTTG-1\n:   4ACCCGGTAGACTCGCA-1\n:   0ACCCTCCCAAGCCAGA-1\n:   2ACCGGTTCAGCATTAT-1\n:   5ACCTCACTCAAGACTC-1\n:   1ACCTGGATCGTCATTT-1\n:   1ACGAACAAGCGCTAAT-1\n:   1ACGCAAGCAGTTTGGC-1\n:   2ACGCCACAGGACTAAG-1\n:   1ACGCCTAAGTCGCAAT-1\n:   1ACTAACCAGGATCCGC-1\n:   1ACTAACGGTGGAAACG-1\n:   0ACTATCCGTACTAAAC-1\n:   5ACTCGCTTCAATACGC-1\n:   0ACTTAGTCAGGTCCTG-1\n:   0ACTTATGAGTTACTTC-1\n:   3ACTTGTCGTATGTGGC-1\n:   3AGAATCGAGTATGTGC-1\n:   6AGACTATGTACTAAAC-1\n:   2AGACTATGTTTCCTCC-1\n:   1AGATGAAGTTAGCGTA-1\n:   0AGCAACAAGCGTGCAC-1\n:   1AGCAATACAACACCTA-1\n:   4AGCCTAAGTCGCATAA-1\n:   0AGCCTAGTCATCCTAT-1\n:   0AGCGGACCACAAGCCT-1\n:   5AGCGGATAGGACTAAG-1\n:   1AGCTAGTTCAGGTTTA-1\n:   1AGCTCATAGAAAGCAT-1\n:   1AGCTTCCTCCGTTATT-1\n:   2AGCTTGGTCACTCAAA-1\n:   3AGGAAACGTTAAGTGT-1\n:   2AGGAACCAGATACTTG-1\n:   2AGGAACGGTTGCAGTA-1\n:   2AGGATGCAGGGATGAC-1\n:   4AGGTAACCATGTCGCG-1\n:   1AGGTGAATCTTAGTCT-1\n:   0AGTAAACAGCTTCTCA-1\n:   1AGTAGCTTCGGTTACG-1\n:   4AGTAGGATCCTAAGAC-1\n:   0AGTCGCATCAAGCTTA-1\n:   0AGTCGCATCCTCCATA-1\n:   0AGTGAACCATGGTTAT-1\n:   4AGTGCCGGTCCTGATT-1\n:   6AGTGGACAGGACTTAC-1\n:   3AGTGTGGCAGCAAGTG-1\n:   3AGTTGGCGTTACGCAA-1\n:   1AGTTGTCAGCCAAATC-1\n:   3ATATAGGCAATTGCGC-1\n:   1ATCAATCCACCATATG-1\n:   0ATCCCGCGTTAGAGCC-1\n:   3ATCCGTGAGGAGCATA-1\n:   3ATCCTTAGTACGATTG-1\n:   1ATCGCTTGTTGAAGCC-1\n:   4ATGATGACAGACAAAC-1\n:   0ATGATGACATTATGGT-1\n:   1ATGGCCGGTCTTTATG-1\n:   2ATTACGTCACTGACCG-1\n:   1ATTATGGTCGCCTAAG-1\n:   4ATTCATGAGAGGGACT-1\n:   0ATTCCTAGTCCACAAA-1\n:   2ATTGCAGGTCAGGCCA-1\n:   0ATTGCTCGTAATTAGC-1\n:   0CAAACATGTAATGACT-1\n:   0CAAACTGGTGCCGCAA-1\n:   3CAAATCATCTACTAAG-1\n:   0CAACCGGGTACAAAGA-1\n:   6CAACCGGGTCTTGCAT-1\n:   3CAACCGGGTTCCTGAT-1\n:   2CAACCGGGTTGTGACA-1\n:   5CAAGGCTGTCGCAATA-1\n:   4CAAGGCTGTCTTGCTG-1\n:   3CAAGGGAGTACTAAAC-1\n:   2CAAGTATGTACTAAAC-1\n:   5CAAGTGAAGCACAGAA-1\n:   4CAATCTAAGGAGGCAT-1\n:   4CAATGACTCCAAGTTA-1\n:   0CAATGACTCTTGCAGG-1\n:   0CAATGTCAGGTAAGCA-1\n:   3CACAAGCGTTTCCACG-1\n:   2CACAATATCGTAACGT-1\n:   3CACATAATCGCACAAT-1\n:   3CACATAATCTAGCGAT-1\n:   0CACATAATCTGGCTTC-1\n:   1CACATGCCACAGGAAT-1\n:   2CACATTAAGTGCTGTG-1\n:   4CACTAAGGTAGTTACG-1\n:   5CACTAAGGTGAGAAAC-1\n:   3CACTTTGTCCTGATGG-1\n:   4CAGAACCGTCGTTATC-1\n:   4CAGCAAGCAATATGGA-1\n:   0CAGCAAGCAGTAAGTA-1\n:   2CAGCCTTTCACCTGCT-1\n:   0CATAACGGTGAGGTAG-1\n:   3CATAAGCTCGCACACA-1\n:   0CATAGCTAGTTACTTC-1\n:   3CATAGTCAGTTACTTC-1\n:   3CATCAGCCAATAGTCT-1\n:   1CATCAGCCAATCATGT-1\n:   2CATCAGCCAGGATGGC-1\n:   2CATCCTCAGAGAGGAG-1\n:   3CATCCTTCAAGGAATC-1\n:   2CATCCTTCACAGGGAC-1\n:   2CATCCTTCACCTACGG-1\n:   1CATCCTTCACCTGTAA-1\n:   1CATGAGGCAAATATCC-1\n:   1CATGAGGCATTGCGAC-1\n:   4CATTATCTCAGTGAAG-1\n:   3CATTGCGAGCTAGAAG-1\n:   2CATTGTGCAGCAAGTG-1\n:   0CCAACCAAGTTACTTC-1\n:   5CCAACCCGTATGTGGC-1\n:   6CCAATATCATTCCTCG-1\n:   4CCACTTGGTCATCCTG-1\n:   3CCAGACTCAAAGCGCA-1\n:   0CCAGGATGTTACAAAC-1\n:   3CCATAGCCAATGAGGT-1\n:   2CCATATTTCGGTTAGT-1\n:   1CCATTATTCCTTGTTG-1\n:   2CCCAGCACAGGCAAGC-1\n:   0CCCATAACATGAGTTT-1\n:   3CCCTTAATCACAGCGC-1\n:   1CCCTTAATCTCAATTC-1\n:   1CCGCTAAAGGCCGGAA-1\n:   0CCGGTAGGTTACGCAA-1\n:   0CCGGTTAAGTTTGGGT-1\n:   3CCGTTGCGTGCAATAT-1\n:   2CCTAAAGGTTGCAGTA-1\n:   1CCTAAGCCATAATCAC-1\n:   1CCTAATAAGAGGAAGG-1\n:   1CCTAATAAGTATGTGC-1\n:   1CCTAGTTGTCTTTATG-1\n:   1CCTCCTCTCGTCCTTA-1\n:   1CCTGGATCAGGACCTT-1\n:   1CCTTACTCAGGCTACT-1\n:   0CCTTCGGTCCAAGTTA-1\n:   1CCTTCGGTCTGTGCAG-1\n:   2CCTTGCGTCATTATGG-1\n:   4CGAAATGAGGTCGAGG-1\n:   4CGAACCGGTAACAGGG-1\n:   4CGATGTCCAGGTTATT-1\n:   3CGATTGAGTAGACAAA-1\n:   4CGCAAATTCACAAGCT-1\n:   3CGCACACAGTATGTGC-1\n:   2CGCATATAGATGGAGC-1\n:   0CGCATATAGCATTAGC-1\n:   4CGCATATAGCTTAGTA-1\n:   4CGCCAAATCCAATAGC-1\n:   1CGCTAATAGATTGAGG-1\n:   3CGCTACTTCCAATAGC-1\n:   1CGCTTAACATTAAAGG-1\n:   3CGCTTGCGTATGTGGC-1\n:   2CGGAATCGTACCGAAC-1\n:   ⋯CGGATAAAGTCTATGA-1\n:   1CGGCCATAGCGGATTT-1\n:   1CGGCTAATCCTTCAAT-1\n:   4CGGCTAATCTGTGCCT-1\n:   1CGGTTATAGGCTACTG-1\n:   0CGGTTCCGTTAAGCCA-1\n:   1CGTAGTTAGCAACAAG-1\n:   4CGTAGTTAGTTGCGTG-1\n:   2CGTATTGCAGGCTGTT-1\n:   4CGTGCTGCATCCCGCT-1\n:   0CGTGTTACAAAGGTAC-1\n:   1CGTTATCGTTAAATGC-1\n:   4CGTTATTTCCCTCAAC-1\n:   3CGTTGCAAGTCGCAAT-1\n:   6CTAAGGTTCCTTCAAT-1\n:   3CTACCGGCACCCACAG-1\n:   2CTAGTCGAGCATTTCT-1\n:   0CTAGTTGCACTAAGTT-1\n:   4CTATGACAGATAGACG-1\n:   4CTATGAGGTTGCATCT-1\n:   3CTATGAGGTTTCCACG-1\n:   6CTATGATCATTGCGTA-1\n:   3CTCACTCAGGTGAAAT-1\n:   2CTCCTCACAATGCCTA-1\n:   1CTCGTTATCACGCCAA-1\n:   0CTCTCACAGCGCTAAT-1\n:   4CTGACCAAGGACCAGG-1\n:   4CTGGCTTTCAATGACC-1\n:   3CTGGCTTTCGCTATAA-1\n:   0CTGGTCAAGTTACTTC-1\n:   0CTGGTTACAATAGTCT-1\n:   3CTGTTGGAGGTCCAAT-1\n:   1CTTAAGATCCTTCAAT-1\n:   2CTTCACTCACAATACT-1\n:   0CTTCGCGTCAGCACCA-1\n:   4CTTCTCAAGGACCTGC-1\n:   2CTTCTCAAGTTATCCT-1\n:   3CTTGACGAGCGATAGA-1\n:   0CTTGCTCAGTTTGGTA-1\n:   3CTTTAGTTCAAGTGTC-1\n:   3CTTTAGTTCACTCAAA-1\n:   2CTTTATCAGCACAGAA-1\n:   0CTTTATCAGTTATCCT-1\n:   6CTTTATCAGTTTGGTA-1\n:   0CTTTATGGTTGTCCAT-1\n:   0GAAACCCGTTAAGTGT-1\n:   4GAAACCCGTTACTAGG-1\n:   5GAAGCCTGTTATTGCC-1\n:   3GAAGTCAAGCCAGGTC-1\n:   1GAATTTGTCCCGTTAC-1\n:   0GACAATACAGCCTGCA-1\n:   3GACACTAGTTTGCGAA-1\n:   1GACATTATCCTTAGGG-1\n:   0GACGTAAAGTAAACCC-1\n:   3GACTAATGTTTAGTCC-1\n:   0GAGAACCAGTCGCAAT-1\n:   1GAGATAAGTCTTTATG-1\n:   6GAGCTTAGTATGTGGC-1\n:   0GAGGCTACAATTAAGG-1\n:   1GAGGTACAGGACCAGG-1\n:   5GAGGTAGGTTGCGTAA-1\n:   0GAGTAATAGGTCGATT-1\n:   1GAGTCATTCGGGCCAT-1\n:   1GAGTTTGGTTGTGACA-1\n:   0GATAATCGTACTGAAT-1\n:   0GATGCATTCACAGACT-1\n:   2GATTACGGTACCGGAT-1\n:   0GATTAGCTCTCGCCCA-1\n:   0GATTCAATCGGTCAAT-1\n:   2GATTCATCATTATCCC-1\n:   4GATTCGCCAATTTGGT-1\n:   0GATTGCAGTACGGGTT-1\n:   4GATTTGCAGCGGTTAT-1\n:   0GATTTGCAGGTGAAAT-1\n:   0GCAAACTTCGGCCATA-1\n:   2GCAGCAACATAGTCAT-1\n:   3GCAGGATAGATTCCTT-1\n:   1GCAGGCAAGATAAAGC-1\n:   2GCAGGCTTCATTTAGG-1\n:   3GCATCCTTCCGTCCAT-1\n:   4GCATCCTTCCTGTTCA-1\n:   2GCATGAAAGGCGCACT-1\n:   1GCATTAGGTTTGTCTA-1\n:   3GCCAACATCTGTTCAT-1\n:   0GCCCTCATCACGCATG-1\n:   0GCCCTCATCCGCCTCA-1\n:   5GCCCTCATCGTTACAA-1\n:   1GCCTCAAAGCCAGGTC-1\n:   6GCCTCCATCCTTGCAC-1\n:   5GCCTCCATCTAACCTT-1\n:   0GCCTGAGGTTGTAACG-1\n:   0GCCTTAGAGCCTGGTA-1\n:   2GCGAAGCCAATCGCAC-1\n:   2GCGAAGTAGAAAGGAA-1\n:   4GCGAGTGAGGACTAAG-1\n:   5GCGCGATTCCAAGTTA-1\n:   1GCGCTTGCAGGAACAT-1\n:   2GCGTTTCTCCTAAGTA-1\n:   3GCTAACAGTAGCCTAA-1\n:   3GCTAACAGTAGCTGGT-1\n:   0GCTAACAGTATTGGAT-1\n:   1GCTAAGCGTGCAACTA-1\n:   1GCTCATTGTTAAGCCA-1\n:   3GCTCCTTAGGACCAGG-1\n:   0GCTGAGGAGGGTCTAT-1\n:   4GCTGGATGTCCTAATC-1\n:   4GCTGGTTCAACAGGTG-1\n:   1GCTGTAAGTCATAAGT-1\n:   2GCTTCGCGTTAAGGTT-1\n:   2GGACAGCCAGCAATAA-1\n:   0GGACTAAAGTCGCAAT-1\n:   4GGAGCAAGTATTTGCC-1\n:   4GGAGCGATCCCGTTAC-1\n:   1GGAGTGAGTCGTTATC-1\n:   0GGCAAATCAACTCGCG-1\n:   0GGCAAATCATCCTAGA-1\n:   2GGCAAGCCAGGCAAGC-1\n:   0GGCAGGATCAGGAAGC-1\n:   4GGCATTGTCATGAGCT-1\n:   0GGCCAGTTCATGCTTT-1\n:   3GGCCAGTTCCCTCAAC-1\n:   4GGCCAGTTCCCTCAGT-1\n:   3GGCCAGTTCGTCAAGT-1\n:   0GGCCATCAGAGGGACT-1\n:   4GGCCTTCGTTGCAGTA-1\n:   0GGCTGTCAGCGCATTG-1\n:   1GGGATAATCAGCTAAC-1\n:   0GGGATAATCCTTAGTT-1\n:   1GGGATAATCTAAGTCA-1\n:   1GGGATAATCTCGCCCA-1\n:   0GGGATTAAGTCGCAAT-1\n:   1GGGTTTGTCGCAAACT-1\n:   1GGTACAAAGGCATGAA-1\n:   5GGTACTTAGTAACTCA-1\n:   3GGTCCGTAGGATTGAG-1\n:   3GGTGTCCAGGGTTAGA-1\n:   4GGTTCTTGTAACGTGC-1\n:   0GGTTCTTGTCTTTATG-1\n:   0GGTTGACGTATGTGGC-1\n:   1GGTTGACGTGTTGCAA-1\n:   2GTAAGCAAGGAACCAA-1\n:   6GTAAGCAAGGGCTAAA-1\n:   0GTACCTTGTGTCACGG-1\n:   0GTACGTAGTTTCCGGC-1\n:   4GTACTTAAGGAACCAA-1\n:   2GTAGCCATCAGGCCTA-1\n:   2GTAGCCATCTAACCAA-1\n:   0GTAGCCATCTGTGAGT-1\n:   2GTAGGTGCAAACCTAT-1\n:   2GTAGTTATCGCTAGTG-1\n:   2GTAGTTTCACGAATCC-1\n:   0GTCCATTGTTAAGCGC-1\n:   0GTCCTAGAGTTCCTCA-1\n:   2GTCCTCAGTCACGGAT-1\n:   2GTCGAAGCATTCAGCA-1\n:   1GTGAGGAGTAATGACT-1\n:   2GTGCGGTTCATAAGCC-1\n:   3GTGCTCCGTACTGATG-1\n:   4GTGTAACTCAAACACC-1\n:   0GTGTGTTAGCTCATAA-1\n:   1GTTAAACGTGTTAGCA-1\n:   0GTTAACGGTACGGTAC-1\n:   0GTTAACGGTCAAGACC-1\n:   0GTTAACGGTCTTTATG-1\n:   1GTTAAGTGTTAGCAGC-1\n:   0GTTAATGTCTTAATGG-1\n:   2GTTACTAAGCACTAAC-1\n:   1GTTACTCGTTCCGCAC-1\n:   1GTTAGGCGTTAGTACG-1\n:   4GTTCACCTCCCTGACT-1\n:   3GTTCTTAGTTACATCC-1\n:   2GTTCTTGTCGAAGTGA-1\n:   1GTTGCCCGTAGCCTAA-1\n:   4GTTGGCCAGGGATTAG-1\n:   1GTTTACCGTTCCGCAC-1\n:   3GTTTGCTGTACGGGTT-1\n:   4GTTTGTAAGTAAGTGG-1\n:   0GTTTGTCGTCATGAGC-1\n:   1TAAGCTGGTTCGGTAA-1\n:   2TAATCCGCAAAGGTAC-1\n:   0TACAAGCTCATTACAG-1\n:   1TACCAGGTCTTGTCCA-1\n:   0TACCGAAGTGCTTACT-1\n:   0TACCGAAGTTCGGGAT-1\n:   1TACCGAAGTTGGTGAC-1\n:   0TAGACCAGTCAAGTAT-1\n:   0TAGACCAGTTGCAATG-1\n:   1TAGAGCCGTCCTGATT-1\n:   2TAGAGCCGTGCTCCAC-1\n:   0TAGAGCCGTTACAAAC-1\n:   1TAGCAGGCATAGCTTG-1\n:   1TAGCTTGCAGCTTAGC-1\n:   0TAGGAACCACTTCACT-1\n:   0TAGGAGTCACTTGTTC-1\n:   3TAGGAGTCATCTAGCA-1\n:   6TAGGTGCGTAGCCTCC-1\n:   4TAGTAACGTCCAAATG-1\n:   0TAGTACGGTCGCAATA-1\n:   1TAGTGTGGTTAAGCTG-1\n:   3TATAGCTCAAGCGATG-1\n:   1\n\n\n**Levels**: 1. '0'\n2. '1'\n3. '2'\n4. '3'\n5. '4'\n6. '5'\n7. '6'\n\n\n","text/latex":"\\begin{description*}\n\\item[AAACATGCATGCATAT-1] 3\n\\item[AAACATGCATTCCTGT-1] 1\n\\item[AAACGCGCAGCGCTTG-1] 2\n\\item[AAACGCGCATTATGGT-1] 4\n\\item[AAACGTACAGGATAAC-1] 2\n\\item[AAAGCCCGTATGTGGC-1] 2\n\\item[AAAGCCCGTCACGGAT-1] 2\n\\item[AAAGCCCGTCTTTATG-1] 6\n\\item[AAAGCCCGTTTAGTCC-1] 3\n\\item[AAAGCCGCACCCTCAC-1] 1\n\\item[AAAGCCGCACGTTACA-1] 2\n\\item[AACAAAGGTTCCAGGG-1] 0\n\\item[AACATCATCTCTAGCC-1] 2\n\\item[AACTACTCAAGGTGCA-1] 2\n\\item[AACTGTTCATCCCTCA-1] 4\n\\item[AACTTAGTCAATGAGG-1] 1\n\\item[AAGACAAGTCCGTAGG-1] 0\n\\item[AAGCCACGTAACCTAG-1] 1\n\\item[AAGCCTTAGGCATGAA-1] 0\n\\item[AAGCGCTGTAAAGCGG-1] 4\n\\item[AAGCGCTGTACGTTTC-1] 0\n\\item[AAGCGGGTCGCATCCT-1] 1\n\\item[AAGGAAGCAATTGCGC-1] 2\n\\item[AAGGAAGCACAAAGCG-1] 5\n\\item[AAGGAAGCAGGGAGGA-1] 1\n\\item[AAGGAAGCAGGTTCAC-1] 2\n\\item[AAGGCCCTCATTAGCA-1] 0\n\\item[AAGGTGCAGCTAGAAG-1] 3\n\\item[AAGTGAAGTTAAGGCC-1] 1\n\\item[AAGTGTTGTGGTTCCC-1] 1\n\\item[AATCCTAAGCATGACT-1] 0\n\\item[AATCTTGAGCCTGATG-1] 6\n\\item[AATGGCGCAAACCCTA-1] 3\n\\item[AATTGCCAGCGAGGTG-1] 0\n\\item[AATTTGGTCACTCGCT-1] 5\n\\item[ACAACATGTTGGATAT-1] 2\n\\item[ACACTTGCAATAGTCT-1] 3\n\\item[ACACTTGCATTGCGGT-1] 1\n\\item[ACAGCCGGTCTTGCTG-1] 5\n\\item[ACAGCGCTCTACCTCA-1] 6\n\\item[ACAGTATGTCTTGCTG-1] 3\n\\item[ACATTGCAGGAGTAAT-1] 1\n\\item[ACATTGCAGGTACCGC-1] 3\n\\item[ACCAAGTTCCTAAGTA-1] 3\n\\item[ACCACATAGAGCCGGA-1] 1\n\\item[ACCCAACCAGGTTTGC-1] 0\n\\item[ACCCGCTGTAACGAGG-1] 2\n\\item[ACCCGCTGTAGCCTCC-1] 2\n\\item[ACCCGCTGTTAGGTTG-1] 4\n\\item[ACCCGGTAGACTCGCA-1] 0\n\\item[ACCCTCCCAAGCCAGA-1] 2\n\\item[ACCGGTTCAGCATTAT-1] 5\n\\item[ACCTCACTCAAGACTC-1] 1\n\\item[ACCTGGATCGTCATTT-1] 1\n\\item[ACGAACAAGCGCTAAT-1] 1\n\\item[ACGCAAGCAGTTTGGC-1] 2\n\\item[ACGCCACAGGACTAAG-1] 1\n\\item[ACGCCTAAGTCGCAAT-1] 1\n\\item[ACTAACCAGGATCCGC-1] 1\n\\item[ACTAACGGTGGAAACG-1] 0\n\\item[ACTATCCGTACTAAAC-1] 5\n\\item[ACTCGCTTCAATACGC-1] 0\n\\item[ACTTAGTCAGGTCCTG-1] 0\n\\item[ACTTATGAGTTACTTC-1] 3\n\\item[ACTTGTCGTATGTGGC-1] 3\n\\item[AGAATCGAGTATGTGC-1] 6\n\\item[AGACTATGTACTAAAC-1] 2\n\\item[AGACTATGTTTCCTCC-1] 1\n\\item[AGATGAAGTTAGCGTA-1] 0\n\\item[AGCAACAAGCGTGCAC-1] 1\n\\item[AGCAATACAACACCTA-1] 4\n\\item[AGCCTAAGTCGCATAA-1] 0\n\\item[AGCCTAGTCATCCTAT-1] 0\n\\item[AGCGGACCACAAGCCT-1] 5\n\\item[AGCGGATAGGACTAAG-1] 1\n\\item[AGCTAGTTCAGGTTTA-1] 1\n\\item[AGCTCATAGAAAGCAT-1] 1\n\\item[AGCTTCCTCCGTTATT-1] 2\n\\item[AGCTTGGTCACTCAAA-1] 3\n\\item[AGGAAACGTTAAGTGT-1] 2\n\\item[AGGAACCAGATACTTG-1] 2\n\\item[AGGAACGGTTGCAGTA-1] 2\n\\item[AGGATGCAGGGATGAC-1] 4\n\\item[AGGTAACCATGTCGCG-1] 1\n\\item[AGGTGAATCTTAGTCT-1] 0\n\\item[AGTAAACAGCTTCTCA-1] 1\n\\item[AGTAGCTTCGGTTACG-1] 4\n\\item[AGTAGGATCCTAAGAC-1] 0\n\\item[AGTCGCATCAAGCTTA-1] 0\n\\item[AGTCGCATCCTCCATA-1] 0\n\\item[AGTGAACCATGGTTAT-1] 4\n\\item[AGTGCCGGTCCTGATT-1] 6\n\\item[AGTGGACAGGACTTAC-1] 3\n\\item[AGTGTGGCAGCAAGTG-1] 3\n\\item[AGTTGGCGTTACGCAA-1] 1\n\\item[AGTTGTCAGCCAAATC-1] 3\n\\item[ATATAGGCAATTGCGC-1] 1\n\\item[ATCAATCCACCATATG-1] 0\n\\item[ATCCCGCGTTAGAGCC-1] 3\n\\item[ATCCGTGAGGAGCATA-1] 3\n\\item[ATCCTTAGTACGATTG-1] 1\n\\item[ATCGCTTGTTGAAGCC-1] 4\n\\item[ATGATGACAGACAAAC-1] 0\n\\item[ATGATGACATTATGGT-1] 1\n\\item[ATGGCCGGTCTTTATG-1] 2\n\\item[ATTACGTCACTGACCG-1] 1\n\\item[ATTATGGTCGCCTAAG-1] 4\n\\item[ATTCATGAGAGGGACT-1] 0\n\\item[ATTCCTAGTCCACAAA-1] 2\n\\item[ATTGCAGGTCAGGCCA-1] 0\n\\item[ATTGCTCGTAATTAGC-1] 0\n\\item[CAAACATGTAATGACT-1] 0\n\\item[CAAACTGGTGCCGCAA-1] 3\n\\item[CAAATCATCTACTAAG-1] 0\n\\item[CAACCGGGTACAAAGA-1] 6\n\\item[CAACCGGGTCTTGCAT-1] 3\n\\item[CAACCGGGTTCCTGAT-1] 2\n\\item[CAACCGGGTTGTGACA-1] 5\n\\item[CAAGGCTGTCGCAATA-1] 4\n\\item[CAAGGCTGTCTTGCTG-1] 3\n\\item[CAAGGGAGTACTAAAC-1] 2\n\\item[CAAGTATGTACTAAAC-1] 5\n\\item[CAAGTGAAGCACAGAA-1] 4\n\\item[CAATCTAAGGAGGCAT-1] 4\n\\item[CAATGACTCCAAGTTA-1] 0\n\\item[CAATGACTCTTGCAGG-1] 0\n\\item[CAATGTCAGGTAAGCA-1] 3\n\\item[CACAAGCGTTTCCACG-1] 2\n\\item[CACAATATCGTAACGT-1] 3\n\\item[CACATAATCGCACAAT-1] 3\n\\item[CACATAATCTAGCGAT-1] 0\n\\item[CACATAATCTGGCTTC-1] 1\n\\item[CACATGCCACAGGAAT-1] 2\n\\item[CACATTAAGTGCTGTG-1] 4\n\\item[CACTAAGGTAGTTACG-1] 5\n\\item[CACTAAGGTGAGAAAC-1] 3\n\\item[CACTTTGTCCTGATGG-1] 4\n\\item[CAGAACCGTCGTTATC-1] 4\n\\item[CAGCAAGCAATATGGA-1] 0\n\\item[CAGCAAGCAGTAAGTA-1] 2\n\\item[CAGCCTTTCACCTGCT-1] 0\n\\item[CATAACGGTGAGGTAG-1] 3\n\\item[CATAAGCTCGCACACA-1] 0\n\\item[CATAGCTAGTTACTTC-1] 3\n\\item[CATAGTCAGTTACTTC-1] 3\n\\item[CATCAGCCAATAGTCT-1] 1\n\\item[CATCAGCCAATCATGT-1] 2\n\\item[CATCAGCCAGGATGGC-1] 2\n\\item[CATCCTCAGAGAGGAG-1] 3\n\\item[CATCCTTCAAGGAATC-1] 2\n\\item[CATCCTTCACAGGGAC-1] 2\n\\item[CATCCTTCACCTACGG-1] 1\n\\item[CATCCTTCACCTGTAA-1] 1\n\\item[CATGAGGCAAATATCC-1] 1\n\\item[CATGAGGCATTGCGAC-1] 4\n\\item[CATTATCTCAGTGAAG-1] 3\n\\item[CATTGCGAGCTAGAAG-1] 2\n\\item[CATTGTGCAGCAAGTG-1] 0\n\\item[CCAACCAAGTTACTTC-1] 5\n\\item[CCAACCCGTATGTGGC-1] 6\n\\item[CCAATATCATTCCTCG-1] 4\n\\item[CCACTTGGTCATCCTG-1] 3\n\\item[CCAGACTCAAAGCGCA-1] 0\n\\item[CCAGGATGTTACAAAC-1] 3\n\\item[CCATAGCCAATGAGGT-1] 2\n\\item[CCATATTTCGGTTAGT-1] 1\n\\item[CCATTATTCCTTGTTG-1] 2\n\\item[CCCAGCACAGGCAAGC-1] 0\n\\item[CCCATAACATGAGTTT-1] 3\n\\item[CCCTTAATCACAGCGC-1] 1\n\\item[CCCTTAATCTCAATTC-1] 1\n\\item[CCGCTAAAGGCCGGAA-1] 0\n\\item[CCGGTAGGTTACGCAA-1] 0\n\\item[CCGGTTAAGTTTGGGT-1] 3\n\\item[CCGTTGCGTGCAATAT-1] 2\n\\item[CCTAAAGGTTGCAGTA-1] 1\n\\item[CCTAAGCCATAATCAC-1] 1\n\\item[CCTAATAAGAGGAAGG-1] 1\n\\item[CCTAATAAGTATGTGC-1] 1\n\\item[CCTAGTTGTCTTTATG-1] 1\n\\item[CCTCCTCTCGTCCTTA-1] 1\n\\item[CCTGGATCAGGACCTT-1] 1\n\\item[CCTTACTCAGGCTACT-1] 0\n\\item[CCTTCGGTCCAAGTTA-1] 1\n\\item[CCTTCGGTCTGTGCAG-1] 2\n\\item[CCTTGCGTCATTATGG-1] 4\n\\item[CGAAATGAGGTCGAGG-1] 4\n\\item[CGAACCGGTAACAGGG-1] 4\n\\item[CGATGTCCAGGTTATT-1] 3\n\\item[CGATTGAGTAGACAAA-1] 4\n\\item[CGCAAATTCACAAGCT-1] 3\n\\item[CGCACACAGTATGTGC-1] 2\n\\item[CGCATATAGATGGAGC-1] 0\n\\item[CGCATATAGCATTAGC-1] 4\n\\item[CGCATATAGCTTAGTA-1] 4\n\\item[CGCCAAATCCAATAGC-1] 1\n\\item[CGCTAATAGATTGAGG-1] 3\n\\item[CGCTACTTCCAATAGC-1] 1\n\\item[CGCTTAACATTAAAGG-1] 3\n\\item[CGCTTGCGTATGTGGC-1] 2\n\\item[CGGAATCGTACCGAAC-1] ⋯\n\\item[CGGATAAAGTCTATGA-1] 1\n\\item[CGGCCATAGCGGATTT-1] 1\n\\item[CGGCTAATCCTTCAAT-1] 4\n\\item[CGGCTAATCTGTGCCT-1] 1\n\\item[CGGTTATAGGCTACTG-1] 0\n\\item[CGGTTCCGTTAAGCCA-1] 1\n\\item[CGTAGTTAGCAACAAG-1] 4\n\\item[CGTAGTTAGTTGCGTG-1] 2\n\\item[CGTATTGCAGGCTGTT-1] 4\n\\item[CGTGCTGCATCCCGCT-1] 0\n\\item[CGTGTTACAAAGGTAC-1] 1\n\\item[CGTTATCGTTAAATGC-1] 4\n\\item[CGTTATTTCCCTCAAC-1] 3\n\\item[CGTTGCAAGTCGCAAT-1] 6\n\\item[CTAAGGTTCCTTCAAT-1] 3\n\\item[CTACCGGCACCCACAG-1] 2\n\\item[CTAGTCGAGCATTTCT-1] 0\n\\item[CTAGTTGCACTAAGTT-1] 4\n\\item[CTATGACAGATAGACG-1] 4\n\\item[CTATGAGGTTGCATCT-1] 3\n\\item[CTATGAGGTTTCCACG-1] 6\n\\item[CTATGATCATTGCGTA-1] 3\n\\item[CTCACTCAGGTGAAAT-1] 2\n\\item[CTCCTCACAATGCCTA-1] 1\n\\item[CTCGTTATCACGCCAA-1] 0\n\\item[CTCTCACAGCGCTAAT-1] 4\n\\item[CTGACCAAGGACCAGG-1] 4\n\\item[CTGGCTTTCAATGACC-1] 3\n\\item[CTGGCTTTCGCTATAA-1] 0\n\\item[CTGGTCAAGTTACTTC-1] 0\n\\item[CTGGTTACAATAGTCT-1] 3\n\\item[CTGTTGGAGGTCCAAT-1] 1\n\\item[CTTAAGATCCTTCAAT-1] 2\n\\item[CTTCACTCACAATACT-1] 0\n\\item[CTTCGCGTCAGCACCA-1] 4\n\\item[CTTCTCAAGGACCTGC-1] 2\n\\item[CTTCTCAAGTTATCCT-1] 3\n\\item[CTTGACGAGCGATAGA-1] 0\n\\item[CTTGCTCAGTTTGGTA-1] 3\n\\item[CTTTAGTTCAAGTGTC-1] 3\n\\item[CTTTAGTTCACTCAAA-1] 2\n\\item[CTTTATCAGCACAGAA-1] 0\n\\item[CTTTATCAGTTATCCT-1] 6\n\\item[CTTTATCAGTTTGGTA-1] 0\n\\item[CTTTATGGTTGTCCAT-1] 0\n\\item[GAAACCCGTTAAGTGT-1] 4\n\\item[GAAACCCGTTACTAGG-1] 5\n\\item[GAAGCCTGTTATTGCC-1] 3\n\\item[GAAGTCAAGCCAGGTC-1] 1\n\\item[GAATTTGTCCCGTTAC-1] 0\n\\item[GACAATACAGCCTGCA-1] 3\n\\item[GACACTAGTTTGCGAA-1] 1\n\\item[GACATTATCCTTAGGG-1] 0\n\\item[GACGTAAAGTAAACCC-1] 3\n\\item[GACTAATGTTTAGTCC-1] 0\n\\item[GAGAACCAGTCGCAAT-1] 1\n\\item[GAGATAAGTCTTTATG-1] 6\n\\item[GAGCTTAGTATGTGGC-1] 0\n\\item[GAGGCTACAATTAAGG-1] 1\n\\item[GAGGTACAGGACCAGG-1] 5\n\\item[GAGGTAGGTTGCGTAA-1] 0\n\\item[GAGTAATAGGTCGATT-1] 1\n\\item[GAGTCATTCGGGCCAT-1] 1\n\\item[GAGTTTGGTTGTGACA-1] 0\n\\item[GATAATCGTACTGAAT-1] 0\n\\item[GATGCATTCACAGACT-1] 2\n\\item[GATTACGGTACCGGAT-1] 0\n\\item[GATTAGCTCTCGCCCA-1] 0\n\\item[GATTCAATCGGTCAAT-1] 2\n\\item[GATTCATCATTATCCC-1] 4\n\\item[GATTCGCCAATTTGGT-1] 0\n\\item[GATTGCAGTACGGGTT-1] 4\n\\item[GATTTGCAGCGGTTAT-1] 0\n\\item[GATTTGCAGGTGAAAT-1] 0\n\\item[GCAAACTTCGGCCATA-1] 2\n\\item[GCAGCAACATAGTCAT-1] 3\n\\item[GCAGGATAGATTCCTT-1] 1\n\\item[GCAGGCAAGATAAAGC-1] 2\n\\item[GCAGGCTTCATTTAGG-1] 3\n\\item[GCATCCTTCCGTCCAT-1] 4\n\\item[GCATCCTTCCTGTTCA-1] 2\n\\item[GCATGAAAGGCGCACT-1] 1\n\\item[GCATTAGGTTTGTCTA-1] 3\n\\item[GCCAACATCTGTTCAT-1] 0\n\\item[GCCCTCATCACGCATG-1] 0\n\\item[GCCCTCATCCGCCTCA-1] 5\n\\item[GCCCTCATCGTTACAA-1] 1\n\\item[GCCTCAAAGCCAGGTC-1] 6\n\\item[GCCTCCATCCTTGCAC-1] 5\n\\item[GCCTCCATCTAACCTT-1] 0\n\\item[GCCTGAGGTTGTAACG-1] 0\n\\item[GCCTTAGAGCCTGGTA-1] 2\n\\item[GCGAAGCCAATCGCAC-1] 2\n\\item[GCGAAGTAGAAAGGAA-1] 4\n\\item[GCGAGTGAGGACTAAG-1] 5\n\\item[GCGCGATTCCAAGTTA-1] 1\n\\item[GCGCTTGCAGGAACAT-1] 2\n\\item[GCGTTTCTCCTAAGTA-1] 3\n\\item[GCTAACAGTAGCCTAA-1] 3\n\\item[GCTAACAGTAGCTGGT-1] 0\n\\item[GCTAACAGTATTGGAT-1] 1\n\\item[GCTAAGCGTGCAACTA-1] 1\n\\item[GCTCATTGTTAAGCCA-1] 3\n\\item[GCTCCTTAGGACCAGG-1] 0\n\\item[GCTGAGGAGGGTCTAT-1] 4\n\\item[GCTGGATGTCCTAATC-1] 4\n\\item[GCTGGTTCAACAGGTG-1] 1\n\\item[GCTGTAAGTCATAAGT-1] 2\n\\item[GCTTCGCGTTAAGGTT-1] 2\n\\item[GGACAGCCAGCAATAA-1] 0\n\\item[GGACTAAAGTCGCAAT-1] 4\n\\item[GGAGCAAGTATTTGCC-1] 4\n\\item[GGAGCGATCCCGTTAC-1] 1\n\\item[GGAGTGAGTCGTTATC-1] 0\n\\item[GGCAAATCAACTCGCG-1] 0\n\\item[GGCAAATCATCCTAGA-1] 2\n\\item[GGCAAGCCAGGCAAGC-1] 0\n\\item[GGCAGGATCAGGAAGC-1] 4\n\\item[GGCATTGTCATGAGCT-1] 0\n\\item[GGCCAGTTCATGCTTT-1] 3\n\\item[GGCCAGTTCCCTCAAC-1] 4\n\\item[GGCCAGTTCCCTCAGT-1] 3\n\\item[GGCCAGTTCGTCAAGT-1] 0\n\\item[GGCCATCAGAGGGACT-1] 4\n\\item[GGCCTTCGTTGCAGTA-1] 0\n\\item[GGCTGTCAGCGCATTG-1] 1\n\\item[GGGATAATCAGCTAAC-1] 0\n\\item[GGGATAATCCTTAGTT-1] 1\n\\item[GGGATAATCTAAGTCA-1] 1\n\\item[GGGATAATCTCGCCCA-1] 0\n\\item[GGGATTAAGTCGCAAT-1] 1\n\\item[GGGTTTGTCGCAAACT-1] 1\n\\item[GGTACAAAGGCATGAA-1] 5\n\\item[GGTACTTAGTAACTCA-1] 3\n\\item[GGTCCGTAGGATTGAG-1] 3\n\\item[GGTGTCCAGGGTTAGA-1] 4\n\\item[GGTTCTTGTAACGTGC-1] 0\n\\item[GGTTCTTGTCTTTATG-1] 0\n\\item[GGTTGACGTATGTGGC-1] 1\n\\item[GGTTGACGTGTTGCAA-1] 2\n\\item[GTAAGCAAGGAACCAA-1] 6\n\\item[GTAAGCAAGGGCTAAA-1] 0\n\\item[GTACCTTGTGTCACGG-1] 0\n\\item[GTACGTAGTTTCCGGC-1] 4\n\\item[GTACTTAAGGAACCAA-1] 2\n\\item[GTAGCCATCAGGCCTA-1] 2\n\\item[GTAGCCATCTAACCAA-1] 0\n\\item[GTAGCCATCTGTGAGT-1] 2\n\\item[GTAGGTGCAAACCTAT-1] 2\n\\item[GTAGTTATCGCTAGTG-1] 2\n\\item[GTAGTTTCACGAATCC-1] 0\n\\item[GTCCATTGTTAAGCGC-1] 0\n\\item[GTCCTAGAGTTCCTCA-1] 2\n\\item[GTCCTCAGTCACGGAT-1] 2\n\\item[GTCGAAGCATTCAGCA-1] 1\n\\item[GTGAGGAGTAATGACT-1] 2\n\\item[GTGCGGTTCATAAGCC-1] 3\n\\item[GTGCTCCGTACTGATG-1] 4\n\\item[GTGTAACTCAAACACC-1] 0\n\\item[GTGTGTTAGCTCATAA-1] 1\n\\item[GTTAAACGTGTTAGCA-1] 0\n\\item[GTTAACGGTACGGTAC-1] 0\n\\item[GTTAACGGTCAAGACC-1] 0\n\\item[GTTAACGGTCTTTATG-1] 1\n\\item[GTTAAGTGTTAGCAGC-1] 0\n\\item[GTTAATGTCTTAATGG-1] 2\n\\item[GTTACTAAGCACTAAC-1] 1\n\\item[GTTACTCGTTCCGCAC-1] 1\n\\item[GTTAGGCGTTAGTACG-1] 4\n\\item[GTTCACCTCCCTGACT-1] 3\n\\item[GTTCTTAGTTACATCC-1] 2\n\\item[GTTCTTGTCGAAGTGA-1] 1\n\\item[GTTGCCCGTAGCCTAA-1] 4\n\\item[GTTGGCCAGGGATTAG-1] 1\n\\item[GTTTACCGTTCCGCAC-1] 3\n\\item[GTTTGCTGTACGGGTT-1] 4\n\\item[GTTTGTAAGTAAGTGG-1] 0\n\\item[GTTTGTCGTCATGAGC-1] 1\n\\item[TAAGCTGGTTCGGTAA-1] 2\n\\item[TAATCCGCAAAGGTAC-1] 0\n\\item[TACAAGCTCATTACAG-1] 1\n\\item[TACCAGGTCTTGTCCA-1] 0\n\\item[TACCGAAGTGCTTACT-1] 0\n\\item[TACCGAAGTTCGGGAT-1] 1\n\\item[TACCGAAGTTGGTGAC-1] 0\n\\item[TAGACCAGTCAAGTAT-1] 0\n\\item[TAGACCAGTTGCAATG-1] 1\n\\item[TAGAGCCGTCCTGATT-1] 2\n\\item[TAGAGCCGTGCTCCAC-1] 0\n\\item[TAGAGCCGTTACAAAC-1] 1\n\\item[TAGCAGGCATAGCTTG-1] 1\n\\item[TAGCTTGCAGCTTAGC-1] 0\n\\item[TAGGAACCACTTCACT-1] 0\n\\item[TAGGAGTCACTTGTTC-1] 3\n\\item[TAGGAGTCATCTAGCA-1] 6\n\\item[TAGGTGCGTAGCCTCC-1] 4\n\\item[TAGTAACGTCCAAATG-1] 0\n\\item[TAGTACGGTCGCAATA-1] 1\n\\item[TAGTGTGGTTAAGCTG-1] 3\n\\item[TATAGCTCAAGCGATG-1] 1\n\\end{description*}\n\n\\emph{Levels}: \\begin{enumerate*}\n\\item '0'\n\\item '1'\n\\item '2'\n\\item '3'\n\\item '4'\n\\item '5'\n\\item '6'\n\\end{enumerate*}\n","text/plain":"AAACATGCATGCATAT-1 AAACATGCATTCCTGT-1 AAACGCGCAGCGCTTG-1 AAACGCGCATTATGGT-1 \n                 3                  1                  2                  4 \nAAACGTACAGGATAAC-1 AAAGCCCGTATGTGGC-1 AAAGCCCGTCACGGAT-1 AAAGCCCGTCTTTATG-1 \n                 2                  2                  2                  6 \nAAAGCCCGTTTAGTCC-1 AAAGCCGCACCCTCAC-1 AAAGCCGCACGTTACA-1 AACAAAGGTTCCAGGG-1 \n                 3                  1                  2                  0 \nAACATCATCTCTAGCC-1 AACTACTCAAGGTGCA-1 AACTGTTCATCCCTCA-1 AACTTAGTCAATGAGG-1 \n                 2                  2                  4                  1 \nAAGACAAGTCCGTAGG-1 AAGCCACGTAACCTAG-1 AAGCCTTAGGCATGAA-1 AAGCGCTGTAAAGCGG-1 \n                 0                  1                  0                  4 \nAAGCGCTGTACGTTTC-1 AAGCGGGTCGCATCCT-1 AAGGAAGCAATTGCGC-1 AAGGAAGCACAAAGCG-1 \n                 0                  1                  2                  5 \nAAGGAAGCAGGGAGGA-1 AAGGAAGCAGGTTCAC-1 AAGGCCCTCATTAGCA-1 AAGGTGCAGCTAGAAG-1 \n                 1                  2                  0                  3 \nAAGTGAAGTTAAGGCC-1 AAGTGTTGTGGTTCCC-1 AATCCTAAGCATGACT-1 AATCTTGAGCCTGATG-1 \n                 1                  1                  0                  6 \nAATGGCGCAAACCCTA-1 AATTGCCAGCGAGGTG-1 AATTTGGTCACTCGCT-1 ACAACATGTTGGATAT-1 \n                 3                  0                  5                  2 \nACACTTGCAATAGTCT-1 ACACTTGCATTGCGGT-1 ACAGCCGGTCTTGCTG-1 ACAGCGCTCTACCTCA-1 \n                 3                  1                  5                  6 \nACAGTATGTCTTGCTG-1 ACATTGCAGGAGTAAT-1 ACATTGCAGGTACCGC-1 ACCAAGTTCCTAAGTA-1 \n                 3                  1                  3                  3 \nACCACATAGAGCCGGA-1 ACCCAACCAGGTTTGC-1 ACCCGCTGTAACGAGG-1 ACCCGCTGTAGCCTCC-1 \n                 1                  0                  2                  2 \nACCCGCTGTTAGGTTG-1 ACCCGGTAGACTCGCA-1 ACCCTCCCAAGCCAGA-1 ACCGGTTCAGCATTAT-1 \n                 4                  0                  2                  5 \nACCTCACTCAAGACTC-1 ACCTGGATCGTCATTT-1 ACGAACAAGCGCTAAT-1 ACGCAAGCAGTTTGGC-1 \n                 1                  1                  1                  2 \nACGCCACAGGACTAAG-1 ACGCCTAAGTCGCAAT-1 ACTAACCAGGATCCGC-1 ACTAACGGTGGAAACG-1 \n                 1                  1                  1                  0 \nACTATCCGTACTAAAC-1 ACTCGCTTCAATACGC-1 ACTTAGTCAGGTCCTG-1 ACTTATGAGTTACTTC-1 \n                 5                  0                  0                  3 \nACTTGTCGTATGTGGC-1 AGAATCGAGTATGTGC-1 AGACTATGTACTAAAC-1 AGACTATGTTTCCTCC-1 \n                 3                  6                  2                  1 \nAGATGAAGTTAGCGTA-1 AGCAACAAGCGTGCAC-1 AGCAATACAACACCTA-1 AGCCTAAGTCGCATAA-1 \n                 0                  1                  4                  0 \nAGCCTAGTCATCCTAT-1 AGCGGACCACAAGCCT-1 AGCGGATAGGACTAAG-1 AGCTAGTTCAGGTTTA-1 \n                 0                  5                  1                  1 \nAGCTCATAGAAAGCAT-1 AGCTTCCTCCGTTATT-1 AGCTTGGTCACTCAAA-1 AGGAAACGTTAAGTGT-1 \n                 1                  2                  3                  2 \nAGGAACCAGATACTTG-1 AGGAACGGTTGCAGTA-1 AGGATGCAGGGATGAC-1 AGGTAACCATGTCGCG-1 \n                 2                  2                  4                  1 \nAGGTGAATCTTAGTCT-1 AGTAAACAGCTTCTCA-1 AGTAGCTTCGGTTACG-1 AGTAGGATCCTAAGAC-1 \n                 0                  1                  4                  0 \nAGTCGCATCAAGCTTA-1 AGTCGCATCCTCCATA-1 AGTGAACCATGGTTAT-1 AGTGCCGGTCCTGATT-1 \n                 0                  0                  4                  6 \nAGTGGACAGGACTTAC-1 AGTGTGGCAGCAAGTG-1 AGTTGGCGTTACGCAA-1 AGTTGTCAGCCAAATC-1 \n                 3                  3                  1                  3 \nATATAGGCAATTGCGC-1 ATCAATCCACCATATG-1 ATCCCGCGTTAGAGCC-1 ATCCGTGAGGAGCATA-1 \n                 1                  0                  3                  3 \nATCCTTAGTACGATTG-1 ATCGCTTGTTGAAGCC-1 ATGATGACAGACAAAC-1 ATGATGACATTATGGT-1 \n                 1                  4                  0                  1 \nATGGCCGGTCTTTATG-1 ATTACGTCACTGACCG-1 ATTATGGTCGCCTAAG-1 ATTCATGAGAGGGACT-1 \n                 2                  1                  4                  0 \nATTCCTAGTCCACAAA-1 ATTGCAGGTCAGGCCA-1 ATTGCTCGTAATTAGC-1 CAAACATGTAATGACT-1 \n                 2                  0                  0                  0 \nCAAACTGGTGCCGCAA-1 CAAATCATCTACTAAG-1 CAACCGGGTACAAAGA-1 CAACCGGGTCTTGCAT-1 \n                 3                  0                  6                  3 \nCAACCGGGTTCCTGAT-1 CAACCGGGTTGTGACA-1 CAAGGCTGTCGCAATA-1 CAAGGCTGTCTTGCTG-1 \n                 2                  5                  4                  3 \nCAAGGGAGTACTAAAC-1 CAAGTATGTACTAAAC-1 CAAGTGAAGCACAGAA-1 CAATCTAAGGAGGCAT-1 \n                 2                  5                  4                  4 \nCAATGACTCCAAGTTA-1 CAATGACTCTTGCAGG-1 CAATGTCAGGTAAGCA-1 CACAAGCGTTTCCACG-1 \n                 0                  0                  3                  2 \nCACAATATCGTAACGT-1 CACATAATCGCACAAT-1 CACATAATCTAGCGAT-1 CACATAATCTGGCTTC-1 \n                 3                  3                  0                  1 \nCACATGCCACAGGAAT-1 CACATTAAGTGCTGTG-1 CACTAAGGTAGTTACG-1 CACTAAGGTGAGAAAC-1 \n                 2                  4                  5                  3 \nCACTTTGTCCTGATGG-1 CAGAACCGTCGTTATC-1 CAGCAAGCAATATGGA-1 CAGCAAGCAGTAAGTA-1 \n                 4                  4                  0                  2 \nCAGCCTTTCACCTGCT-1 CATAACGGTGAGGTAG-1 CATAAGCTCGCACACA-1 CATAGCTAGTTACTTC-1 \n                 0                  3                  0                  3 \nCATAGTCAGTTACTTC-1 CATCAGCCAATAGTCT-1 CATCAGCCAATCATGT-1 CATCAGCCAGGATGGC-1 \n                 3                  1                  2                  2 \nCATCCTCAGAGAGGAG-1 CATCCTTCAAGGAATC-1 CATCCTTCACAGGGAC-1 CATCCTTCACCTACGG-1 \n                 3                  2                  2                  1 \nCATCCTTCACCTGTAA-1 CATGAGGCAAATATCC-1 CATGAGGCATTGCGAC-1 CATTATCTCAGTGAAG-1 \n                 1                  1                  4                  3 \nCATTGCGAGCTAGAAG-1 CATTGTGCAGCAAGTG-1 CCAACCAAGTTACTTC-1 CCAACCCGTATGTGGC-1 \n                 2                  0                  5                  6 \nCCAATATCATTCCTCG-1 CCACTTGGTCATCCTG-1 CCAGACTCAAAGCGCA-1 CCAGGATGTTACAAAC-1 \n                 4                  3                  0                  3 \nCCATAGCCAATGAGGT-1 CCATATTTCGGTTAGT-1 CCATTATTCCTTGTTG-1 CCCAGCACAGGCAAGC-1 \n                 2                  1                  2                  0 \nCCCATAACATGAGTTT-1 CCCTTAATCACAGCGC-1 CCCTTAATCTCAATTC-1 CCGCTAAAGGCCGGAA-1 \n                 3                  1                  1                  0 \nCCGGTAGGTTACGCAA-1 CCGGTTAAGTTTGGGT-1 CCGTTGCGTGCAATAT-1 CCTAAAGGTTGCAGTA-1 \n                 0                  3                  2                  1 \nCCTAAGCCATAATCAC-1 CCTAATAAGAGGAAGG-1 CCTAATAAGTATGTGC-1 CCTAGTTGTCTTTATG-1 \n                 1                  1                  1                  1 \nCCTCCTCTCGTCCTTA-1 CCTGGATCAGGACCTT-1 CCTTACTCAGGCTACT-1 CCTTCGGTCCAAGTTA-1 \n                 1                  1                  0                  1 \nCCTTCGGTCTGTGCAG-1 CCTTGCGTCATTATGG-1 CGAAATGAGGTCGAGG-1 CGAACCGGTAACAGGG-1 \n                 2                  4                  4                  4 \nCGATGTCCAGGTTATT-1 CGATTGAGTAGACAAA-1 CGCAAATTCACAAGCT-1 CGCACACAGTATGTGC-1 \n                 3                  4                  3                  2 \nCGCATATAGATGGAGC-1 CGCATATAGCATTAGC-1 CGCATATAGCTTAGTA-1 CGCCAAATCCAATAGC-1 \n                 0                  4                  4                  1 \nCGCTAATAGATTGAGG-1 CGCTACTTCCAATAGC-1 CGCTTAACATTAAAGG-1 CGCTTGCGTATGTGGC-1 \n                 3                  1                  3                  2 \nCGGAATCGTACCGAAC-1 CGGATAAAGTCTATGA-1 CGGCCATAGCGGATTT-1 CGGCTAATCCTTCAAT-1 \n                 0                  6                  4                  2 \nCGGCTAATCTGTGCCT-1 CGGTTATAGGCTACTG-1 CGGTTCCGTTAAGCCA-1 CGTAGTTAGCAACAAG-1 \n                 2                  0                  1                  2 \nCGTAGTTAGTTGCGTG-1 CGTATTGCAGGCTGTT-1 CGTGCTGCATCCCGCT-1 CGTGTTACAAAGGTAC-1 \n                 0                  4                  0                  4 \nCGTTATCGTTAAATGC-1 CGTTATTTCCCTCAAC-1 CGTTGCAAGTCGCAAT-1 CTAAGGTTCCTTCAAT-1 \n                 4                  2                  5                  2 \nCTACCGGCACCCACAG-1 CTAGTCGAGCATTTCT-1 CTAGTTGCACTAAGTT-1 CTATGACAGATAGACG-1 \n                 2                  3                  3                  1 \nCTATGAGGTTGCATCT-1 CTATGAGGTTTCCACG-1 CTATGATCATTGCGTA-1 CTCACTCAGGTGAAAT-1 \n                 0                  1                  0                  4 \nCTCCTCACAATGCCTA-1 CTCGTTATCACGCCAA-1 CTCTCACAGCGCTAAT-1 CTGACCAAGGACCAGG-1 \n                 1                  1                  0                  0 \nCTGGCTTTCAATGACC-1 CTGGCTTTCGCTATAA-1 CTGGTCAAGTTACTTC-1 CTGGTTACAATAGTCT-1 \n                 3                  6                  2                  5 \nCTGTTGGAGGTCCAAT-1 CTTAAGATCCTTCAAT-1 CTTCACTCACAATACT-1 CTTCGCGTCAGCACCA-1 \n                 1                  1                  0                  3 \nCTTCTCAAGGACCTGC-1 CTTCTCAAGTTATCCT-1 CTTGACGAGCGATAGA-1 CTTGCTCAGTTTGGTA-1 \n                 0                  0                  0                  0 \nCTTTAGTTCAAGTGTC-1 CTTTAGTTCACTCAAA-1 CTTTATCAGCACAGAA-1 CTTTATCAGTTATCCT-1 \n                 4                  4                  2                  2 \nCTTTATCAGTTTGGTA-1 CTTTATGGTTGTCCAT-1 GAAACCCGTTAAGTGT-1 GAAACCCGTTACTAGG-1 \n                 2                  0                  1                  2 \nGAAGCCTGTTATTGCC-1 GAAGTCAAGCCAGGTC-1 GAATTTGTCCCGTTAC-1 GACAATACAGCCTGCA-1 \n                 3                  3                  0                  0 \nGACACTAGTTTGCGAA-1 GACATTATCCTTAGGG-1 GACGTAAAGTAAACCC-1 GACTAATGTTTAGTCC-1 \n                 3                  6                  4                  4 \nGAGAACCAGTCGCAAT-1 GAGATAAGTCTTTATG-1 GAGCTTAGTATGTGGC-1 GAGGCTACAATTAAGG-1 \n                 2                  4                  0                  1 \nGAGGTACAGGACCAGG-1 GAGGTAGGTTGCGTAA-1 GAGTAATAGGTCGATT-1 GAGTCATTCGGGCCAT-1 \n                 3                  1                  4                  0 \nGAGTTTGGTTGTGACA-1 GATAATCGTACTGAAT-1 GATGCATTCACAGACT-1 GATTACGGTACCGGAT-1 \n                 4                  4                  4                  2 \nGATTAGCTCTCGCCCA-1 GATTCAATCGGTCAAT-1 GATTCATCATTATCCC-1 GATTCGCCAATTTGGT-1 \n                 0                  0                  3                  4 \nGATTGCAGTACGGGTT-1 GATTTGCAGCGGTTAT-1 GATTTGCAGGTGAAAT-1 GCAAACTTCGGCCATA-1 \n                 2                  2                  1                  0 \nGCAGCAACATAGTCAT-1 GCAGGATAGATTCCTT-1 GCAGGCAAGATAAAGC-1 GCAGGCTTCATTTAGG-1 \n                 0                  1                  0                  1 \nGCATCCTTCCGTCCAT-1 GCATCCTTCCTGTTCA-1 GCATGAAAGGCGCACT-1 GCATTAGGTTTGTCTA-1 \n                 3                  3                  1                  0 \nGCCAACATCTGTTCAT-1 GCCCTCATCACGCATG-1 GCCCTCATCCGCCTCA-1 GCCCTCATCGTTACAA-1 \n                 1                  1                  2                  2 \nGCCTCAAAGCCAGGTC-1 GCCTCCATCCTTGCAC-1 GCCTCCATCTAACCTT-1 GCCTGAGGTTGTAACG-1 \n                 1                  1                  1                  1 \nGCCTTAGAGCCTGGTA-1 GCGAAGCCAATCGCAC-1 GCGAAGTAGAAAGGAA-1 GCGAGTGAGGACTAAG-1 \n                 0                  4                  0                  1 \nGCGCGATTCCAAGTTA-1 GCGCTTGCAGGAACAT-1 GCGTTTCTCCTAAGTA-1 GCTAACAGTAGCCTAA-1 \n                 3                  0                  4                  1 \nGCTAACAGTAGCTGGT-1 GCTAACAGTATTGGAT-1 GCTAAGCGTGCAACTA-1 GCTCATTGTTAAGCCA-1 \n                 3                  1                  0                  0 \nGCTCCTTAGGACCAGG-1 GCTGAGGAGGGTCTAT-1 GCTGGATGTCCTAATC-1 GCTGGTTCAACAGGTG-1 \n                 4                  0                  3                  4 \nGCTGTAAGTCATAAGT-1 GCTTCGCGTTAAGGTT-1 GGACAGCCAGCAATAA-1 GGACTAAAGTCGCAAT-1 \n                 1                  1                  4                  1 \nGGAGCAAGTATTTGCC-1 GGAGCGATCCCGTTAC-1 GGAGTGAGTCGTTATC-1 GGCAAATCAACTCGCG-1 \n                 0                  1                  4                  2 \nGGCAAATCATCCTAGA-1 GGCAAGCCAGGCAAGC-1 GGCAGGATCAGGAAGC-1 GGCATTGTCATGAGCT-1 \n                 4                  0                  1                  4 \nGGCCAGTTCATGCTTT-1 GGCCAGTTCCCTCAAC-1 GGCCAGTTCCCTCAGT-1 GGCCAGTTCGTCAAGT-1 \n                 3                  6                  3                  2 \nGGCCATCAGAGGGACT-1 GGCCTTCGTTGCAGTA-1 GGCTGTCAGCGCATTG-1 GGGATAATCAGCTAAC-1 \n                 0                  4                  4                  3 \nGGGATAATCCTTAGTT-1 GGGATAATCTAAGTCA-1 GGGATAATCTCGCCCA-1 GGGATTAAGTCGCAAT-1 \n                 6                  3                  2                  1 \nGGGTTTGTCGCAAACT-1 GGTACAAAGGCATGAA-1 GGTACTTAGTAACTCA-1 GGTCCGTAGGATTGAG-1 \n                 0                  4                  4                  3 \nGGTGTCCAGGGTTAGA-1 GGTTCTTGTAACGTGC-1 GGTTCTTGTCTTTATG-1 GGTTGACGTATGTGGC-1 \n                 0                  0                  3                  1 \nGGTTGACGTGTTGCAA-1 GTAAGCAAGGAACCAA-1 GTAAGCAAGGGCTAAA-1 GTACCTTGTGTCACGG-1 \n                 2                  0                  4                  2 \nGTACGTAGTTTCCGGC-1 GTACTTAAGGAACCAA-1 GTAGCCATCAGGCCTA-1 GTAGCCATCTAACCAA-1 \n                 3                  0                  3                  3 \nGTAGCCATCTGTGAGT-1 GTAGGTGCAAACCTAT-1 GTAGTTATCGCTAGTG-1 GTAGTTTCACGAATCC-1 \n                 2                  0                  6                  0 \nGTCCATTGTTAAGCGC-1 GTCCTAGAGTTCCTCA-1 GTCCTCAGTCACGGAT-1 GTCGAAGCATTCAGCA-1 \n                 0                  4                  5                  3 \nGTGAGGAGTAATGACT-1 GTGCGGTTCATAAGCC-1 GTGCTCCGTACTGATG-1 GTGTAACTCAAACACC-1 \n                 1                  0                  3                  1 \nGTGTGTTAGCTCATAA-1 GTTAAACGTGTTAGCA-1 GTTAACGGTACGGTAC-1 GTTAACGGTCAAGACC-1 \n                 0                  3                  0                  1 \nGTTAACGGTCTTTATG-1 GTTAAGTGTTAGCAGC-1 GTTAATGTCTTAATGG-1 GTTACTAAGCACTAAC-1 \n                 6                  0                  1                  5 \nGTTACTCGTTCCGCAC-1 GTTAGGCGTTAGTACG-1 GTTCACCTCCCTGACT-1 GTTCTTAGTTACATCC-1 \n                 0                  1                  1                  0 \nGTTCTTGTCGAAGTGA-1 GTTGCCCGTAGCCTAA-1 GTTGGCCAGGGATTAG-1 GTTTACCGTTCCGCAC-1 \n                 0                  2                  0                  0 \nGTTTGCTGTACGGGTT-1 GTTTGTAAGTAAGTGG-1 GTTTGTCGTCATGAGC-1 TAAGCTGGTTCGGTAA-1 \n                 2                  4                  0                  4 \nTAATCCGCAAAGGTAC-1 TACAAGCTCATTACAG-1 TACCAGGTCTTGTCCA-1 TACCGAAGTGCTTACT-1 \n                 0                  0                  2                  3 \nTACCGAAGTTCGGGAT-1 TACCGAAGTTGGTGAC-1 TAGACCAGTCAAGTAT-1 TAGACCAGTTGCAATG-1 \n                 1                  2                  3                  4 \nTAGAGCCGTCCTGATT-1 TAGAGCCGTGCTCCAC-1 TAGAGCCGTTACAAAC-1 TAGCAGGCATAGCTTG-1 \n                 2                  1                  3                  0 \nTAGCTTGCAGCTTAGC-1 TAGGAACCACTTCACT-1 TAGGAGTCACTTGTTC-1 TAGGAGTCATCTAGCA-1 \n                 0                  5                  1                  6 \nTAGGTGCGTAGCCTCC-1 TAGTAACGTCCAAATG-1 TAGTACGGTCGCAATA-1 TAGTGTGGTTAAGCTG-1 \n                 5                  0                  0                  2 \nTATAGCTCAAGCGATG-1 TATCACAAGTGAACCT-1 TATCGCACAAAGCCTC-1 TATCGCGAGCATGACT-1 \n                 2                  4                  5                  1 \nTATCGCGAGCTAGAAG-1 TATGGTCAGGCTGTCA-1 TATTAGCCACTTAGGC-1 TATTAGGTCCTGATGG-1 \n                 2                  3                  3                  0 \nTATTAGGTCGTGCTAG-1 TATTTGCTCAAGTGAG-1 TATTTGCTCTTGTCCA-1 TATTTGGAGGCGCATC-1 \n                 1                  1                  3                  0 \nTCAAACCAGTTATTCC-1 TCACTGACAACAGGTG-1 TCAGCAAGTAGCTAAT-1 TCAGCGATCATGCTTT-1 \n                 4                  4                  1                  2 \nTCAGCGATCCTCAGCT-1 TCAGTAGGTAACCAGC-1 TCAGTGAGTGAAGCCT-1 TCAGTGAGTGACATAT-1 \n                 2                  0                  4                  4 \nTCATGCCTCAGGTTTA-1 TCATTACTCTCATCAT-1 TCATTGTTCACTAGGT-1 TCATTGTTCATAACTG-1 \n                 1                  0                  0                  2 \nTCCATGCTCCAGGAAA-1 TCCATTGTCGGTTCCT-1 TCCATTGTCGTGCTTC-1 TCCCTCACATAGTCAT-1 \n                 0                  4                  0                  3 \nTCCTCAATCAGGGCCT-1 TCCTTAGTCACCAATA-1 TCCTTAGTCATTACTC-1 TCGACAAGTTGTTCAC-1 \n                 4                  3                  0                  4 \nTCGATTAAGGCTTAGT-1 TCGCCCATCTGTGCCT-1 TCGGTAAGTCAGGAAG-1 TCGGTTACAGCAAGTG-1 \n                 0                  1                  0                  1 \nTCGTTACGTGCTTACT-1 TCGTTACGTTAGCCAA-1 TCGTTACGTTGTCCAT-1 TCTAACCGTGCAATAT-1 \n                 1                  0                  1                  1 \nTCTAAGGGTAATAACC-1 TCTAATCTCGCCTAAG-1 TCTAGCACACCACAAC-1 TGAAACTGTAGCCATA-1 \n                 5                  3                  3                  4 \nTGAAGTGAGGGTCCAC-1 TGACCTTGTGCCGCAA-1 TGAGCAAAGTCGCAAT-1 TGAGCCGGTTAAGCTG-1 \n                 0                  0                  1                  2 \nTGAGGAGGTACTAAAC-1 TGATCACAGGCTAATC-1 TGATCCTGTTCCGCAC-1 TGATCGAGTTACTTGC-1 \n                 6                  0                  0                  4 \nTGATGATGTTTCCACG-1 TGCACACCAGCAAGAT-1 TGCACTTGTTCGCTCA-1 TGCCGGTAGATTCCTT-1 \n                 2                  2                  0                  2 \nTGCGCGAGTAGCCATA-1 TGCTATGCAACTGGGA-1 TGCTATGCACTTAGGC-1 TGCTATGCAGAAACGT-1 \n                 2                  2                  0                  0 \nTGCTATGCATTGTGTG-1 TGCTTAAAGTTATCTC-1 TGCTTTAGTGTTCCCA-1 TGGACAAAGGACTAAG-1 \n                 2                  2                  1                  2 \nTGGCCAATCGAAGCGG-1 TGGCTTTGTGATGATT-1 TGGTCCTTCTTGAGGT-1 TGGTCCTTCTTTAGGA-1 \n                 3                  4                  0                  1 \nTGTAACTCACTTAGGC-1 TGTCATAAGGGACTAA-1 TGTGATCAGAATGACG-1 TGTGATCAGTTTGAGC-1 \n                 0                  0                  0                  1 \nTGTGCAAGTGAAGCCT-1 TGTGCACCACTAGGTC-1 TGTGCACCACTTAGGC-1 TGTGCACCACTTCATC-1 \n                 0                  2                  1                  1 \nTGTGGCTCAGGATGGC-1 TGTTTGTTCCTAAGTA-1 TGTTTGTTCTTGCAGG-1 TTAACTGAGCTTTGGG-1 \n                 4                  3                  2                  1 \nTTAGAAGCACCCACAG-1 TTAGCCTGTTATAGCG-1 TTAGGATGTCGTAATG-1 TTAGGCGTCCAGGTTG-1 \n                 4                  1                  3                  4 \nTTAGTCAAGGTCGAGG-1 TTATGCGCAATTAACC-1 TTATGCGCAGCAAGAT-1 TTATGCGCATTGTGCA-1 \n                 0                  1                  2                  0 \nTTCATCCCAGGATTAA-1 TTCCACGGTCCAAATG-1 TTCCTCAAGCGTGCAC-1 TTCGTGCTCGCTTGCT-1 \n                 1                  0                  0                  1 \nTTCGTGCTCTTGGATA-1 TTCTTAGGTCTAACCT-1 TTCTTAGGTGGTTCCC-1 TTGCTTAGTGCTGGTG-1 \n                 0                  0                  1                  2 \nTTGCTTAGTTGTTGTC-1 TTGGCGGGTTTATGGG-1 TTGGCTTGTCATTACC-1 TTGGGCGGTCACAGAC-1 \n                 0                  1                  1                  0 \nTTGTCAAAGGGTGGAT-1 TTGTCCATCCCTGTTA-1 TTTCACCCAAACCCTA-1 TTTCCGGGTTCTTTAG-1 \n                 0                  3                  6                  4 \nTTTCGTCCATTAAAGG-1 TTTCTCACAGAACCGA-1 TTTGGTAAGACTAAGG-1 TTTGGTAAGTTGCCTC-1 \n                 0                  1                  3                  1 \nLevels: 0 1 2 3 4 5 6"},"metadata":{}}]},{"cell_type":"code","source":"# lets set the id to 0.1\n\nIdents(seurat) <- \"RNA_snn_res.0.1\"","metadata":{"execution":{"iopub.status.busy":"2023-11-08T07:02:58.804228Z","iopub.execute_input":"2023-11-08T07:02:58.806290Z","iopub.status.idle":"2023-11-08T07:02:58.836846Z"},"trusted":true},"execution_count":59,"outputs":[]},{"cell_type":"code","source":"Idents(seurat)","metadata":{"execution":{"iopub.status.busy":"2023-11-08T07:03:17.205502Z","iopub.execute_input":"2023-11-08T07:03:17.208208Z","iopub.status.idle":"2023-11-08T07:03:17.261951Z"},"trusted":true},"execution_count":60,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.dl-inline {width: auto; margin:0; padding: 0}\n.dl-inline>dt, .dl-inline>dd {float: none; width: auto; display: inline-block}\n.dl-inline>dt::after {content: \":\\0020\"; padding-right: .5ex}\n.dl-inline>dt:not(:first-of-type) {padding-left: .5ex}\n</style><dl class=dl-inline><dt>AAACATGCATGCATAT-1</dt><dd>1</dd><dt>AAACATGCATTCCTGT-1</dt><dd>0</dd><dt>AAACGCGCAGCGCTTG-1</dt><dd>0</dd><dt>AAACGCGCATTATGGT-1</dt><dd>0</dd><dt>AAACGTACAGGATAAC-1</dt><dd>0</dd><dt>AAAGCCCGTATGTGGC-1</dt><dd>0</dd><dt>AAAGCCCGTCACGGAT-1</dt><dd>0</dd><dt>AAAGCCCGTCTTTATG-1</dt><dd>2</dd><dt>AAAGCCCGTTTAGTCC-1</dt><dd>1</dd><dt>AAAGCCGCACCCTCAC-1</dt><dd>0</dd><dt>AAAGCCGCACGTTACA-1</dt><dd>0</dd><dt>AACAAAGGTTCCAGGG-1</dt><dd>0</dd><dt>AACATCATCTCTAGCC-1</dt><dd>0</dd><dt>AACTACTCAAGGTGCA-1</dt><dd>0</dd><dt>AACTGTTCATCCCTCA-1</dt><dd>0</dd><dt>AACTTAGTCAATGAGG-1</dt><dd>0</dd><dt>AAGACAAGTCCGTAGG-1</dt><dd>0</dd><dt>AAGCCACGTAACCTAG-1</dt><dd>0</dd><dt>AAGCCTTAGGCATGAA-1</dt><dd>0</dd><dt>AAGCGCTGTAAAGCGG-1</dt><dd>0</dd><dt>AAGCGCTGTACGTTTC-1</dt><dd>0</dd><dt>AAGCGGGTCGCATCCT-1</dt><dd>0</dd><dt>AAGGAAGCAATTGCGC-1</dt><dd>0</dd><dt>AAGGAAGCACAAAGCG-1</dt><dd>0</dd><dt>AAGGAAGCAGGGAGGA-1</dt><dd>0</dd><dt>AAGGAAGCAGGTTCAC-1</dt><dd>0</dd><dt>AAGGCCCTCATTAGCA-1</dt><dd>0</dd><dt>AAGGTGCAGCTAGAAG-1</dt><dd>1</dd><dt>AAGTGAAGTTAAGGCC-1</dt><dd>0</dd><dt>AAGTGTTGTGGTTCCC-1</dt><dd>0</dd><dt>AATCCTAAGCATGACT-1</dt><dd>0</dd><dt>AATCTTGAGCCTGATG-1</dt><dd>2</dd><dt>AATGGCGCAAACCCTA-1</dt><dd>1</dd><dt>AATTGCCAGCGAGGTG-1</dt><dd>0</dd><dt>AATTTGGTCACTCGCT-1</dt><dd>0</dd><dt>ACAACATGTTGGATAT-1</dt><dd>0</dd><dt>ACACTTGCAATAGTCT-1</dt><dd>1</dd><dt>ACACTTGCATTGCGGT-1</dt><dd>0</dd><dt>ACAGCCGGTCTTGCTG-1</dt><dd>0</dd><dt>ACAGCGCTCTACCTCA-1</dt><dd>2</dd><dt>ACAGTATGTCTTGCTG-1</dt><dd>1</dd><dt>ACATTGCAGGAGTAAT-1</dt><dd>0</dd><dt>ACATTGCAGGTACCGC-1</dt><dd>1</dd><dt>ACCAAGTTCCTAAGTA-1</dt><dd>1</dd><dt>ACCACATAGAGCCGGA-1</dt><dd>0</dd><dt>ACCCAACCAGGTTTGC-1</dt><dd>0</dd><dt>ACCCGCTGTAACGAGG-1</dt><dd>0</dd><dt>ACCCGCTGTAGCCTCC-1</dt><dd>0</dd><dt>ACCCGCTGTTAGGTTG-1</dt><dd>0</dd><dt>ACCCGGTAGACTCGCA-1</dt><dd>0</dd><dt>ACCCTCCCAAGCCAGA-1</dt><dd>0</dd><dt>ACCGGTTCAGCATTAT-1</dt><dd>0</dd><dt>ACCTCACTCAAGACTC-1</dt><dd>0</dd><dt>ACCTGGATCGTCATTT-1</dt><dd>0</dd><dt>ACGAACAAGCGCTAAT-1</dt><dd>0</dd><dt>ACGCAAGCAGTTTGGC-1</dt><dd>0</dd><dt>ACGCCACAGGACTAAG-1</dt><dd>0</dd><dt>ACGCCTAAGTCGCAAT-1</dt><dd>0</dd><dt>ACTAACCAGGATCCGC-1</dt><dd>0</dd><dt>ACTAACGGTGGAAACG-1</dt><dd>0</dd><dt>ACTATCCGTACTAAAC-1</dt><dd>0</dd><dt>ACTCGCTTCAATACGC-1</dt><dd>0</dd><dt>ACTTAGTCAGGTCCTG-1</dt><dd>0</dd><dt>ACTTATGAGTTACTTC-1</dt><dd>1</dd><dt>ACTTGTCGTATGTGGC-1</dt><dd>1</dd><dt>AGAATCGAGTATGTGC-1</dt><dd>2</dd><dt>AGACTATGTACTAAAC-1</dt><dd>0</dd><dt>AGACTATGTTTCCTCC-1</dt><dd>0</dd><dt>AGATGAAGTTAGCGTA-1</dt><dd>0</dd><dt>AGCAACAAGCGTGCAC-1</dt><dd>0</dd><dt>AGCAATACAACACCTA-1</dt><dd>0</dd><dt>AGCCTAAGTCGCATAA-1</dt><dd>0</dd><dt>AGCCTAGTCATCCTAT-1</dt><dd>0</dd><dt>AGCGGACCACAAGCCT-1</dt><dd>0</dd><dt>AGCGGATAGGACTAAG-1</dt><dd>0</dd><dt>AGCTAGTTCAGGTTTA-1</dt><dd>0</dd><dt>AGCTCATAGAAAGCAT-1</dt><dd>0</dd><dt>AGCTTCCTCCGTTATT-1</dt><dd>0</dd><dt>AGCTTGGTCACTCAAA-1</dt><dd>1</dd><dt>AGGAAACGTTAAGTGT-1</dt><dd>0</dd><dt>AGGAACCAGATACTTG-1</dt><dd>0</dd><dt>AGGAACGGTTGCAGTA-1</dt><dd>0</dd><dt>AGGATGCAGGGATGAC-1</dt><dd>0</dd><dt>AGGTAACCATGTCGCG-1</dt><dd>0</dd><dt>AGGTGAATCTTAGTCT-1</dt><dd>0</dd><dt>AGTAAACAGCTTCTCA-1</dt><dd>0</dd><dt>AGTAGCTTCGGTTACG-1</dt><dd>0</dd><dt>AGTAGGATCCTAAGAC-1</dt><dd>0</dd><dt>AGTCGCATCAAGCTTA-1</dt><dd>0</dd><dt>AGTCGCATCCTCCATA-1</dt><dd>0</dd><dt>AGTGAACCATGGTTAT-1</dt><dd>0</dd><dt>AGTGCCGGTCCTGATT-1</dt><dd>2</dd><dt>AGTGGACAGGACTTAC-1</dt><dd>1</dd><dt>AGTGTGGCAGCAAGTG-1</dt><dd>1</dd><dt>AGTTGGCGTTACGCAA-1</dt><dd>0</dd><dt>AGTTGTCAGCCAAATC-1</dt><dd>1</dd><dt>ATATAGGCAATTGCGC-1</dt><dd>0</dd><dt>ATCAATCCACCATATG-1</dt><dd>0</dd><dt>ATCCCGCGTTAGAGCC-1</dt><dd>0</dd><dt>ATCCGTGAGGAGCATA-1</dt><dd>1</dd><dt>ATCCTTAGTACGATTG-1</dt><dd>0</dd><dt>ATCGCTTGTTGAAGCC-1</dt><dd>0</dd><dt>ATGATGACAGACAAAC-1</dt><dd>0</dd><dt>ATGATGACATTATGGT-1</dt><dd>0</dd><dt>ATGGCCGGTCTTTATG-1</dt><dd>0</dd><dt>ATTACGTCACTGACCG-1</dt><dd>0</dd><dt>ATTATGGTCGCCTAAG-1</dt><dd>0</dd><dt>ATTCATGAGAGGGACT-1</dt><dd>0</dd><dt>ATTCCTAGTCCACAAA-1</dt><dd>0</dd><dt>ATTGCAGGTCAGGCCA-1</dt><dd>0</dd><dt>ATTGCTCGTAATTAGC-1</dt><dd>0</dd><dt>CAAACATGTAATGACT-1</dt><dd>0</dd><dt>CAAACTGGTGCCGCAA-1</dt><dd>1</dd><dt>CAAATCATCTACTAAG-1</dt><dd>0</dd><dt>CAACCGGGTACAAAGA-1</dt><dd>2</dd><dt>CAACCGGGTCTTGCAT-1</dt><dd>1</dd><dt>CAACCGGGTTCCTGAT-1</dt><dd>0</dd><dt>CAACCGGGTTGTGACA-1</dt><dd>0</dd><dt>CAAGGCTGTCGCAATA-1</dt><dd>0</dd><dt>CAAGGCTGTCTTGCTG-1</dt><dd>1</dd><dt>CAAGGGAGTACTAAAC-1</dt><dd>0</dd><dt>CAAGTATGTACTAAAC-1</dt><dd>0</dd><dt>CAAGTGAAGCACAGAA-1</dt><dd>0</dd><dt>CAATCTAAGGAGGCAT-1</dt><dd>0</dd><dt>CAATGACTCCAAGTTA-1</dt><dd>0</dd><dt>CAATGACTCTTGCAGG-1</dt><dd>0</dd><dt>CAATGTCAGGTAAGCA-1</dt><dd>1</dd><dt>CACAAGCGTTTCCACG-1</dt><dd>0</dd><dt>CACAATATCGTAACGT-1</dt><dd>1</dd><dt>CACATAATCGCACAAT-1</dt><dd>1</dd><dt>CACATAATCTAGCGAT-1</dt><dd>0</dd><dt>CACATAATCTGGCTTC-1</dt><dd>0</dd><dt>CACATGCCACAGGAAT-1</dt><dd>0</dd><dt>CACATTAAGTGCTGTG-1</dt><dd>0</dd><dt>CACTAAGGTAGTTACG-1</dt><dd>0</dd><dt>CACTAAGGTGAGAAAC-1</dt><dd>1</dd><dt>CACTTTGTCCTGATGG-1</dt><dd>0</dd><dt>CAGAACCGTCGTTATC-1</dt><dd>0</dd><dt>CAGCAAGCAATATGGA-1</dt><dd>0</dd><dt>CAGCAAGCAGTAAGTA-1</dt><dd>0</dd><dt>CAGCCTTTCACCTGCT-1</dt><dd>0</dd><dt>CATAACGGTGAGGTAG-1</dt><dd>1</dd><dt>CATAAGCTCGCACACA-1</dt><dd>0</dd><dt>CATAGCTAGTTACTTC-1</dt><dd>1</dd><dt>CATAGTCAGTTACTTC-1</dt><dd>1</dd><dt>CATCAGCCAATAGTCT-1</dt><dd>0</dd><dt>CATCAGCCAATCATGT-1</dt><dd>0</dd><dt>CATCAGCCAGGATGGC-1</dt><dd>0</dd><dt>CATCCTCAGAGAGGAG-1</dt><dd>1</dd><dt>CATCCTTCAAGGAATC-1</dt><dd>0</dd><dt>CATCCTTCACAGGGAC-1</dt><dd>0</dd><dt>CATCCTTCACCTACGG-1</dt><dd>0</dd><dt>CATCCTTCACCTGTAA-1</dt><dd>0</dd><dt>CATGAGGCAAATATCC-1</dt><dd>0</dd><dt>CATGAGGCATTGCGAC-1</dt><dd>0</dd><dt>CATTATCTCAGTGAAG-1</dt><dd>1</dd><dt>CATTGCGAGCTAGAAG-1</dt><dd>0</dd><dt>CATTGTGCAGCAAGTG-1</dt><dd>0</dd><dt>CCAACCAAGTTACTTC-1</dt><dd>0</dd><dt>CCAACCCGTATGTGGC-1</dt><dd>2</dd><dt>CCAATATCATTCCTCG-1</dt><dd>0</dd><dt>CCACTTGGTCATCCTG-1</dt><dd>1</dd><dt>CCAGACTCAAAGCGCA-1</dt><dd>0</dd><dt>CCAGGATGTTACAAAC-1</dt><dd>1</dd><dt>CCATAGCCAATGAGGT-1</dt><dd>0</dd><dt>CCATATTTCGGTTAGT-1</dt><dd>0</dd><dt>CCATTATTCCTTGTTG-1</dt><dd>0</dd><dt>CCCAGCACAGGCAAGC-1</dt><dd>0</dd><dt>CCCATAACATGAGTTT-1</dt><dd>1</dd><dt>CCCTTAATCACAGCGC-1</dt><dd>0</dd><dt>CCCTTAATCTCAATTC-1</dt><dd>0</dd><dt>CCGCTAAAGGCCGGAA-1</dt><dd>0</dd><dt>CCGGTAGGTTACGCAA-1</dt><dd>0</dd><dt>CCGGTTAAGTTTGGGT-1</dt><dd>1</dd><dt>CCGTTGCGTGCAATAT-1</dt><dd>0</dd><dt>CCTAAAGGTTGCAGTA-1</dt><dd>0</dd><dt>CCTAAGCCATAATCAC-1</dt><dd>0</dd><dt>CCTAATAAGAGGAAGG-1</dt><dd>0</dd><dt>CCTAATAAGTATGTGC-1</dt><dd>0</dd><dt>CCTAGTTGTCTTTATG-1</dt><dd>0</dd><dt>CCTCCTCTCGTCCTTA-1</dt><dd>0</dd><dt>CCTGGATCAGGACCTT-1</dt><dd>0</dd><dt>CCTTACTCAGGCTACT-1</dt><dd>0</dd><dt>CCTTCGGTCCAAGTTA-1</dt><dd>0</dd><dt>CCTTCGGTCTGTGCAG-1</dt><dd>0</dd><dt>CCTTGCGTCATTATGG-1</dt><dd>0</dd><dt>CGAAATGAGGTCGAGG-1</dt><dd>0</dd><dt>CGAACCGGTAACAGGG-1</dt><dd>0</dd><dt>CGATGTCCAGGTTATT-1</dt><dd>1</dd><dt>CGATTGAGTAGACAAA-1</dt><dd>0</dd><dt>CGCAAATTCACAAGCT-1</dt><dd>1</dd><dt>CGCACACAGTATGTGC-1</dt><dd>0</dd><dt>CGCATATAGATGGAGC-1</dt><dd>0</dd><dt>CGCATATAGCATTAGC-1</dt><dd>0</dd><dt>CGCATATAGCTTAGTA-1</dt><dd>0</dd><dt>CGCCAAATCCAATAGC-1</dt><dd>0</dd><dt>CGCTAATAGATTGAGG-1</dt><dd>1</dd><dt>CGCTACTTCCAATAGC-1</dt><dd>0</dd><dt>CGCTTAACATTAAAGG-1</dt><dd>1</dd><dt>CGCTTGCGTATGTGGC-1</dt><dd>0</dd><dt>CGGAATCGTACCGAAC-1</dt><dd>⋯</dd><dt>CGGATAAAGTCTATGA-1</dt><dd>0</dd><dt>CGGCCATAGCGGATTT-1</dt><dd>0</dd><dt>CGGCTAATCCTTCAAT-1</dt><dd>0</dd><dt>CGGCTAATCTGTGCCT-1</dt><dd>0</dd><dt>CGGTTATAGGCTACTG-1</dt><dd>0</dd><dt>CGGTTCCGTTAAGCCA-1</dt><dd>0</dd><dt>CGTAGTTAGCAACAAG-1</dt><dd>0</dd><dt>CGTAGTTAGTTGCGTG-1</dt><dd>0</dd><dt>CGTATTGCAGGCTGTT-1</dt><dd>0</dd><dt>CGTGCTGCATCCCGCT-1</dt><dd>0</dd><dt>CGTGTTACAAAGGTAC-1</dt><dd>0</dd><dt>CGTTATCGTTAAATGC-1</dt><dd>0</dd><dt>CGTTATTTCCCTCAAC-1</dt><dd>1</dd><dt>CGTTGCAAGTCGCAAT-1</dt><dd>2</dd><dt>CTAAGGTTCCTTCAAT-1</dt><dd>1</dd><dt>CTACCGGCACCCACAG-1</dt><dd>0</dd><dt>CTAGTCGAGCATTTCT-1</dt><dd>0</dd><dt>CTAGTTGCACTAAGTT-1</dt><dd>0</dd><dt>CTATGACAGATAGACG-1</dt><dd>0</dd><dt>CTATGAGGTTGCATCT-1</dt><dd>1</dd><dt>CTATGAGGTTTCCACG-1</dt><dd>2</dd><dt>CTATGATCATTGCGTA-1</dt><dd>1</dd><dt>CTCACTCAGGTGAAAT-1</dt><dd>0</dd><dt>CTCCTCACAATGCCTA-1</dt><dd>0</dd><dt>CTCGTTATCACGCCAA-1</dt><dd>0</dd><dt>CTCTCACAGCGCTAAT-1</dt><dd>0</dd><dt>CTGACCAAGGACCAGG-1</dt><dd>0</dd><dt>CTGGCTTTCAATGACC-1</dt><dd>0</dd><dt>CTGGCTTTCGCTATAA-1</dt><dd>0</dd><dt>CTGGTCAAGTTACTTC-1</dt><dd>0</dd><dt>CTGGTTACAATAGTCT-1</dt><dd>1</dd><dt>CTGTTGGAGGTCCAAT-1</dt><dd>0</dd><dt>CTTAAGATCCTTCAAT-1</dt><dd>0</dd><dt>CTTCACTCACAATACT-1</dt><dd>0</dd><dt>CTTCGCGTCAGCACCA-1</dt><dd>0</dd><dt>CTTCTCAAGGACCTGC-1</dt><dd>0</dd><dt>CTTCTCAAGTTATCCT-1</dt><dd>1</dd><dt>CTTGACGAGCGATAGA-1</dt><dd>0</dd><dt>CTTGCTCAGTTTGGTA-1</dt><dd>1</dd><dt>CTTTAGTTCAAGTGTC-1</dt><dd>1</dd><dt>CTTTAGTTCACTCAAA-1</dt><dd>0</dd><dt>CTTTATCAGCACAGAA-1</dt><dd>0</dd><dt>CTTTATCAGTTATCCT-1</dt><dd>2</dd><dt>CTTTATCAGTTTGGTA-1</dt><dd>0</dd><dt>CTTTATGGTTGTCCAT-1</dt><dd>0</dd><dt>GAAACCCGTTAAGTGT-1</dt><dd>0</dd><dt>GAAACCCGTTACTAGG-1</dt><dd>0</dd><dt>GAAGCCTGTTATTGCC-1</dt><dd>1</dd><dt>GAAGTCAAGCCAGGTC-1</dt><dd>0</dd><dt>GAATTTGTCCCGTTAC-1</dt><dd>0</dd><dt>GACAATACAGCCTGCA-1</dt><dd>1</dd><dt>GACACTAGTTTGCGAA-1</dt><dd>0</dd><dt>GACATTATCCTTAGGG-1</dt><dd>0</dd><dt>GACGTAAAGTAAACCC-1</dt><dd>1</dd><dt>GACTAATGTTTAGTCC-1</dt><dd>0</dd><dt>GAGAACCAGTCGCAAT-1</dt><dd>0</dd><dt>GAGATAAGTCTTTATG-1</dt><dd>2</dd><dt>GAGCTTAGTATGTGGC-1</dt><dd>0</dd><dt>GAGGCTACAATTAAGG-1</dt><dd>0</dd><dt>GAGGTACAGGACCAGG-1</dt><dd>0</dd><dt>GAGGTAGGTTGCGTAA-1</dt><dd>0</dd><dt>GAGTAATAGGTCGATT-1</dt><dd>0</dd><dt>GAGTCATTCGGGCCAT-1</dt><dd>0</dd><dt>GAGTTTGGTTGTGACA-1</dt><dd>0</dd><dt>GATAATCGTACTGAAT-1</dt><dd>0</dd><dt>GATGCATTCACAGACT-1</dt><dd>0</dd><dt>GATTACGGTACCGGAT-1</dt><dd>0</dd><dt>GATTAGCTCTCGCCCA-1</dt><dd>0</dd><dt>GATTCAATCGGTCAAT-1</dt><dd>0</dd><dt>GATTCATCATTATCCC-1</dt><dd>0</dd><dt>GATTCGCCAATTTGGT-1</dt><dd>0</dd><dt>GATTGCAGTACGGGTT-1</dt><dd>0</dd><dt>GATTTGCAGCGGTTAT-1</dt><dd>0</dd><dt>GATTTGCAGGTGAAAT-1</dt><dd>0</dd><dt>GCAAACTTCGGCCATA-1</dt><dd>0</dd><dt>GCAGCAACATAGTCAT-1</dt><dd>1</dd><dt>GCAGGATAGATTCCTT-1</dt><dd>0</dd><dt>GCAGGCAAGATAAAGC-1</dt><dd>0</dd><dt>GCAGGCTTCATTTAGG-1</dt><dd>1</dd><dt>GCATCCTTCCGTCCAT-1</dt><dd>0</dd><dt>GCATCCTTCCTGTTCA-1</dt><dd>0</dd><dt>GCATGAAAGGCGCACT-1</dt><dd>0</dd><dt>GCATTAGGTTTGTCTA-1</dt><dd>1</dd><dt>GCCAACATCTGTTCAT-1</dt><dd>0</dd><dt>GCCCTCATCACGCATG-1</dt><dd>0</dd><dt>GCCCTCATCCGCCTCA-1</dt><dd>0</dd><dt>GCCCTCATCGTTACAA-1</dt><dd>0</dd><dt>GCCTCAAAGCCAGGTC-1</dt><dd>2</dd><dt>GCCTCCATCCTTGCAC-1</dt><dd>0</dd><dt>GCCTCCATCTAACCTT-1</dt><dd>0</dd><dt>GCCTGAGGTTGTAACG-1</dt><dd>0</dd><dt>GCCTTAGAGCCTGGTA-1</dt><dd>0</dd><dt>GCGAAGCCAATCGCAC-1</dt><dd>0</dd><dt>GCGAAGTAGAAAGGAA-1</dt><dd>0</dd><dt>GCGAGTGAGGACTAAG-1</dt><dd>0</dd><dt>GCGCGATTCCAAGTTA-1</dt><dd>0</dd><dt>GCGCTTGCAGGAACAT-1</dt><dd>0</dd><dt>GCGTTTCTCCTAAGTA-1</dt><dd>1</dd><dt>GCTAACAGTAGCCTAA-1</dt><dd>1</dd><dt>GCTAACAGTAGCTGGT-1</dt><dd>0</dd><dt>GCTAACAGTATTGGAT-1</dt><dd>0</dd><dt>GCTAAGCGTGCAACTA-1</dt><dd>0</dd><dt>GCTCATTGTTAAGCCA-1</dt><dd>1</dd><dt>GCTCCTTAGGACCAGG-1</dt><dd>0</dd><dt>GCTGAGGAGGGTCTAT-1</dt><dd>0</dd><dt>GCTGGATGTCCTAATC-1</dt><dd>0</dd><dt>GCTGGTTCAACAGGTG-1</dt><dd>0</dd><dt>GCTGTAAGTCATAAGT-1</dt><dd>0</dd><dt>GCTTCGCGTTAAGGTT-1</dt><dd>0</dd><dt>GGACAGCCAGCAATAA-1</dt><dd>0</dd><dt>GGACTAAAGTCGCAAT-1</dt><dd>0</dd><dt>GGAGCAAGTATTTGCC-1</dt><dd>0</dd><dt>GGAGCGATCCCGTTAC-1</dt><dd>0</dd><dt>GGAGTGAGTCGTTATC-1</dt><dd>0</dd><dt>GGCAAATCAACTCGCG-1</dt><dd>0</dd><dt>GGCAAATCATCCTAGA-1</dt><dd>0</dd><dt>GGCAAGCCAGGCAAGC-1</dt><dd>0</dd><dt>GGCAGGATCAGGAAGC-1</dt><dd>0</dd><dt>GGCATTGTCATGAGCT-1</dt><dd>0</dd><dt>GGCCAGTTCATGCTTT-1</dt><dd>1</dd><dt>GGCCAGTTCCCTCAAC-1</dt><dd>0</dd><dt>GGCCAGTTCCCTCAGT-1</dt><dd>1</dd><dt>GGCCAGTTCGTCAAGT-1</dt><dd>0</dd><dt>GGCCATCAGAGGGACT-1</dt><dd>0</dd><dt>GGCCTTCGTTGCAGTA-1</dt><dd>0</dd><dt>GGCTGTCAGCGCATTG-1</dt><dd>0</dd><dt>GGGATAATCAGCTAAC-1</dt><dd>0</dd><dt>GGGATAATCCTTAGTT-1</dt><dd>0</dd><dt>GGGATAATCTAAGTCA-1</dt><dd>0</dd><dt>GGGATAATCTCGCCCA-1</dt><dd>0</dd><dt>GGGATTAAGTCGCAAT-1</dt><dd>0</dd><dt>GGGTTTGTCGCAAACT-1</dt><dd>0</dd><dt>GGTACAAAGGCATGAA-1</dt><dd>0</dd><dt>GGTACTTAGTAACTCA-1</dt><dd>1</dd><dt>GGTCCGTAGGATTGAG-1</dt><dd>1</dd><dt>GGTGTCCAGGGTTAGA-1</dt><dd>0</dd><dt>GGTTCTTGTAACGTGC-1</dt><dd>0</dd><dt>GGTTCTTGTCTTTATG-1</dt><dd>0</dd><dt>GGTTGACGTATGTGGC-1</dt><dd>0</dd><dt>GGTTGACGTGTTGCAA-1</dt><dd>0</dd><dt>GTAAGCAAGGAACCAA-1</dt><dd>2</dd><dt>GTAAGCAAGGGCTAAA-1</dt><dd>0</dd><dt>GTACCTTGTGTCACGG-1</dt><dd>0</dd><dt>GTACGTAGTTTCCGGC-1</dt><dd>0</dd><dt>GTACTTAAGGAACCAA-1</dt><dd>0</dd><dt>GTAGCCATCAGGCCTA-1</dt><dd>0</dd><dt>GTAGCCATCTAACCAA-1</dt><dd>0</dd><dt>GTAGCCATCTGTGAGT-1</dt><dd>0</dd><dt>GTAGGTGCAAACCTAT-1</dt><dd>0</dd><dt>GTAGTTATCGCTAGTG-1</dt><dd>0</dd><dt>GTAGTTTCACGAATCC-1</dt><dd>0</dd><dt>GTCCATTGTTAAGCGC-1</dt><dd>0</dd><dt>GTCCTAGAGTTCCTCA-1</dt><dd>0</dd><dt>GTCCTCAGTCACGGAT-1</dt><dd>0</dd><dt>GTCGAAGCATTCAGCA-1</dt><dd>0</dd><dt>GTGAGGAGTAATGACT-1</dt><dd>0</dd><dt>GTGCGGTTCATAAGCC-1</dt><dd>1</dd><dt>GTGCTCCGTACTGATG-1</dt><dd>0</dd><dt>GTGTAACTCAAACACC-1</dt><dd>0</dd><dt>GTGTGTTAGCTCATAA-1</dt><dd>0</dd><dt>GTTAAACGTGTTAGCA-1</dt><dd>0</dd><dt>GTTAACGGTACGGTAC-1</dt><dd>0</dd><dt>GTTAACGGTCAAGACC-1</dt><dd>0</dd><dt>GTTAACGGTCTTTATG-1</dt><dd>0</dd><dt>GTTAAGTGTTAGCAGC-1</dt><dd>0</dd><dt>GTTAATGTCTTAATGG-1</dt><dd>0</dd><dt>GTTACTAAGCACTAAC-1</dt><dd>0</dd><dt>GTTACTCGTTCCGCAC-1</dt><dd>0</dd><dt>GTTAGGCGTTAGTACG-1</dt><dd>0</dd><dt>GTTCACCTCCCTGACT-1</dt><dd>1</dd><dt>GTTCTTAGTTACATCC-1</dt><dd>0</dd><dt>GTTCTTGTCGAAGTGA-1</dt><dd>0</dd><dt>GTTGCCCGTAGCCTAA-1</dt><dd>0</dd><dt>GTTGGCCAGGGATTAG-1</dt><dd>0</dd><dt>GTTTACCGTTCCGCAC-1</dt><dd>1</dd><dt>GTTTGCTGTACGGGTT-1</dt><dd>0</dd><dt>GTTTGTAAGTAAGTGG-1</dt><dd>0</dd><dt>GTTTGTCGTCATGAGC-1</dt><dd>0</dd><dt>TAAGCTGGTTCGGTAA-1</dt><dd>0</dd><dt>TAATCCGCAAAGGTAC-1</dt><dd>0</dd><dt>TACAAGCTCATTACAG-1</dt><dd>0</dd><dt>TACCAGGTCTTGTCCA-1</dt><dd>0</dd><dt>TACCGAAGTGCTTACT-1</dt><dd>0</dd><dt>TACCGAAGTTCGGGAT-1</dt><dd>0</dd><dt>TACCGAAGTTGGTGAC-1</dt><dd>0</dd><dt>TAGACCAGTCAAGTAT-1</dt><dd>0</dd><dt>TAGACCAGTTGCAATG-1</dt><dd>0</dd><dt>TAGAGCCGTCCTGATT-1</dt><dd>0</dd><dt>TAGAGCCGTGCTCCAC-1</dt><dd>0</dd><dt>TAGAGCCGTTACAAAC-1</dt><dd>0</dd><dt>TAGCAGGCATAGCTTG-1</dt><dd>0</dd><dt>TAGCTTGCAGCTTAGC-1</dt><dd>0</dd><dt>TAGGAACCACTTCACT-1</dt><dd>0</dd><dt>TAGGAGTCACTTGTTC-1</dt><dd>1</dd><dt>TAGGAGTCATCTAGCA-1</dt><dd>0</dd><dt>TAGGTGCGTAGCCTCC-1</dt><dd>0</dd><dt>TAGTAACGTCCAAATG-1</dt><dd>0</dd><dt>TAGTACGGTCGCAATA-1</dt><dd>0</dd><dt>TAGTGTGGTTAAGCTG-1</dt><dd>1</dd><dt>TATAGCTCAAGCGATG-1</dt><dd>0</dd></dl>\n\n<details>\n\t<summary style=display:list-item;cursor:pointer>\n\t\t<strong>Levels</strong>:\n\t</summary>\n\t<style>\n\t.list-inline {list-style: none; margin:0; padding: 0}\n\t.list-inline>li {display: inline-block}\n\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n\t</style>\n\t<ol class=list-inline><li>'0'</li><li>'1'</li><li>'2'</li></ol>\n</details>","text/markdown":"AAACATGCATGCATAT-1\n:   1AAACATGCATTCCTGT-1\n:   0AAACGCGCAGCGCTTG-1\n:   0AAACGCGCATTATGGT-1\n:   0AAACGTACAGGATAAC-1\n:   0AAAGCCCGTATGTGGC-1\n:   0AAAGCCCGTCACGGAT-1\n:   0AAAGCCCGTCTTTATG-1\n:   2AAAGCCCGTTTAGTCC-1\n:   1AAAGCCGCACCCTCAC-1\n:   0AAAGCCGCACGTTACA-1\n:   0AACAAAGGTTCCAGGG-1\n:   0AACATCATCTCTAGCC-1\n:   0AACTACTCAAGGTGCA-1\n:   0AACTGTTCATCCCTCA-1\n:   0AACTTAGTCAATGAGG-1\n:   0AAGACAAGTCCGTAGG-1\n:   0AAGCCACGTAACCTAG-1\n:   0AAGCCTTAGGCATGAA-1\n:   0AAGCGCTGTAAAGCGG-1\n:   0AAGCGCTGTACGTTTC-1\n:   0AAGCGGGTCGCATCCT-1\n:   0AAGGAAGCAATTGCGC-1\n:   0AAGGAAGCACAAAGCG-1\n:   0AAGGAAGCAGGGAGGA-1\n:   0AAGGAAGCAGGTTCAC-1\n:   0AAGGCCCTCATTAGCA-1\n:   0AAGGTGCAGCTAGAAG-1\n:   1AAGTGAAGTTAAGGCC-1\n:   0AAGTGTTGTGGTTCCC-1\n:   0AATCCTAAGCATGACT-1\n:   0AATCTTGAGCCTGATG-1\n:   2AATGGCGCAAACCCTA-1\n:   1AATTGCCAGCGAGGTG-1\n:   0AATTTGGTCACTCGCT-1\n:   0ACAACATGTTGGATAT-1\n:   0ACACTTGCAATAGTCT-1\n:   1ACACTTGCATTGCGGT-1\n:   0ACAGCCGGTCTTGCTG-1\n:   0ACAGCGCTCTACCTCA-1\n:   2ACAGTATGTCTTGCTG-1\n:   1ACATTGCAGGAGTAAT-1\n:   0ACATTGCAGGTACCGC-1\n:   1ACCAAGTTCCTAAGTA-1\n:   1ACCACATAGAGCCGGA-1\n:   0ACCCAACCAGGTTTGC-1\n:   0ACCCGCTGTAACGAGG-1\n:   0ACCCGCTGTAGCCTCC-1\n:   0ACCCGCTGTTAGGTTG-1\n:   0ACCCGGTAGACTCGCA-1\n:   0ACCCTCCCAAGCCAGA-1\n:   0ACCGGTTCAGCATTAT-1\n:   0ACCTCACTCAAGACTC-1\n:   0ACCTGGATCGTCATTT-1\n:   0ACGAACAAGCGCTAAT-1\n:   0ACGCAAGCAGTTTGGC-1\n:   0ACGCCACAGGACTAAG-1\n:   0ACGCCTAAGTCGCAAT-1\n:   0ACTAACCAGGATCCGC-1\n:   0ACTAACGGTGGAAACG-1\n:   0ACTATCCGTACTAAAC-1\n:   0ACTCGCTTCAATACGC-1\n:   0ACTTAGTCAGGTCCTG-1\n:   0ACTTATGAGTTACTTC-1\n:   1ACTTGTCGTATGTGGC-1\n:   1AGAATCGAGTATGTGC-1\n:   2AGACTATGTACTAAAC-1\n:   0AGACTATGTTTCCTCC-1\n:   0AGATGAAGTTAGCGTA-1\n:   0AGCAACAAGCGTGCAC-1\n:   0AGCAATACAACACCTA-1\n:   0AGCCTAAGTCGCATAA-1\n:   0AGCCTAGTCATCCTAT-1\n:   0AGCGGACCACAAGCCT-1\n:   0AGCGGATAGGACTAAG-1\n:   0AGCTAGTTCAGGTTTA-1\n:   0AGCTCATAGAAAGCAT-1\n:   0AGCTTCCTCCGTTATT-1\n:   0AGCTTGGTCACTCAAA-1\n:   1AGGAAACGTTAAGTGT-1\n:   0AGGAACCAGATACTTG-1\n:   0AGGAACGGTTGCAGTA-1\n:   0AGGATGCAGGGATGAC-1\n:   0AGGTAACCATGTCGCG-1\n:   0AGGTGAATCTTAGTCT-1\n:   0AGTAAACAGCTTCTCA-1\n:   0AGTAGCTTCGGTTACG-1\n:   0AGTAGGATCCTAAGAC-1\n:   0AGTCGCATCAAGCTTA-1\n:   0AGTCGCATCCTCCATA-1\n:   0AGTGAACCATGGTTAT-1\n:   0AGTGCCGGTCCTGATT-1\n:   2AGTGGACAGGACTTAC-1\n:   1AGTGTGGCAGCAAGTG-1\n:   1AGTTGGCGTTACGCAA-1\n:   0AGTTGTCAGCCAAATC-1\n:   1ATATAGGCAATTGCGC-1\n:   0ATCAATCCACCATATG-1\n:   0ATCCCGCGTTAGAGCC-1\n:   0ATCCGTGAGGAGCATA-1\n:   1ATCCTTAGTACGATTG-1\n:   0ATCGCTTGTTGAAGCC-1\n:   0ATGATGACAGACAAAC-1\n:   0ATGATGACATTATGGT-1\n:   0ATGGCCGGTCTTTATG-1\n:   0ATTACGTCACTGACCG-1\n:   0ATTATGGTCGCCTAAG-1\n:   0ATTCATGAGAGGGACT-1\n:   0ATTCCTAGTCCACAAA-1\n:   0ATTGCAGGTCAGGCCA-1\n:   0ATTGCTCGTAATTAGC-1\n:   0CAAACATGTAATGACT-1\n:   0CAAACTGGTGCCGCAA-1\n:   1CAAATCATCTACTAAG-1\n:   0CAACCGGGTACAAAGA-1\n:   2CAACCGGGTCTTGCAT-1\n:   1CAACCGGGTTCCTGAT-1\n:   0CAACCGGGTTGTGACA-1\n:   0CAAGGCTGTCGCAATA-1\n:   0CAAGGCTGTCTTGCTG-1\n:   1CAAGGGAGTACTAAAC-1\n:   0CAAGTATGTACTAAAC-1\n:   0CAAGTGAAGCACAGAA-1\n:   0CAATCTAAGGAGGCAT-1\n:   0CAATGACTCCAAGTTA-1\n:   0CAATGACTCTTGCAGG-1\n:   0CAATGTCAGGTAAGCA-1\n:   1CACAAGCGTTTCCACG-1\n:   0CACAATATCGTAACGT-1\n:   1CACATAATCGCACAAT-1\n:   1CACATAATCTAGCGAT-1\n:   0CACATAATCTGGCTTC-1\n:   0CACATGCCACAGGAAT-1\n:   0CACATTAAGTGCTGTG-1\n:   0CACTAAGGTAGTTACG-1\n:   0CACTAAGGTGAGAAAC-1\n:   1CACTTTGTCCTGATGG-1\n:   0CAGAACCGTCGTTATC-1\n:   0CAGCAAGCAATATGGA-1\n:   0CAGCAAGCAGTAAGTA-1\n:   0CAGCCTTTCACCTGCT-1\n:   0CATAACGGTGAGGTAG-1\n:   1CATAAGCTCGCACACA-1\n:   0CATAGCTAGTTACTTC-1\n:   1CATAGTCAGTTACTTC-1\n:   1CATCAGCCAATAGTCT-1\n:   0CATCAGCCAATCATGT-1\n:   0CATCAGCCAGGATGGC-1\n:   0CATCCTCAGAGAGGAG-1\n:   1CATCCTTCAAGGAATC-1\n:   0CATCCTTCACAGGGAC-1\n:   0CATCCTTCACCTACGG-1\n:   0CATCCTTCACCTGTAA-1\n:   0CATGAGGCAAATATCC-1\n:   0CATGAGGCATTGCGAC-1\n:   0CATTATCTCAGTGAAG-1\n:   1CATTGCGAGCTAGAAG-1\n:   0CATTGTGCAGCAAGTG-1\n:   0CCAACCAAGTTACTTC-1\n:   0CCAACCCGTATGTGGC-1\n:   2CCAATATCATTCCTCG-1\n:   0CCACTTGGTCATCCTG-1\n:   1CCAGACTCAAAGCGCA-1\n:   0CCAGGATGTTACAAAC-1\n:   1CCATAGCCAATGAGGT-1\n:   0CCATATTTCGGTTAGT-1\n:   0CCATTATTCCTTGTTG-1\n:   0CCCAGCACAGGCAAGC-1\n:   0CCCATAACATGAGTTT-1\n:   1CCCTTAATCACAGCGC-1\n:   0CCCTTAATCTCAATTC-1\n:   0CCGCTAAAGGCCGGAA-1\n:   0CCGGTAGGTTACGCAA-1\n:   0CCGGTTAAGTTTGGGT-1\n:   1CCGTTGCGTGCAATAT-1\n:   0CCTAAAGGTTGCAGTA-1\n:   0CCTAAGCCATAATCAC-1\n:   0CCTAATAAGAGGAAGG-1\n:   0CCTAATAAGTATGTGC-1\n:   0CCTAGTTGTCTTTATG-1\n:   0CCTCCTCTCGTCCTTA-1\n:   0CCTGGATCAGGACCTT-1\n:   0CCTTACTCAGGCTACT-1\n:   0CCTTCGGTCCAAGTTA-1\n:   0CCTTCGGTCTGTGCAG-1\n:   0CCTTGCGTCATTATGG-1\n:   0CGAAATGAGGTCGAGG-1\n:   0CGAACCGGTAACAGGG-1\n:   0CGATGTCCAGGTTATT-1\n:   1CGATTGAGTAGACAAA-1\n:   0CGCAAATTCACAAGCT-1\n:   1CGCACACAGTATGTGC-1\n:   0CGCATATAGATGGAGC-1\n:   0CGCATATAGCATTAGC-1\n:   0CGCATATAGCTTAGTA-1\n:   0CGCCAAATCCAATAGC-1\n:   0CGCTAATAGATTGAGG-1\n:   1CGCTACTTCCAATAGC-1\n:   0CGCTTAACATTAAAGG-1\n:   1CGCTTGCGTATGTGGC-1\n:   0CGGAATCGTACCGAAC-1\n:   ⋯CGGATAAAGTCTATGA-1\n:   0CGGCCATAGCGGATTT-1\n:   0CGGCTAATCCTTCAAT-1\n:   0CGGCTAATCTGTGCCT-1\n:   0CGGTTATAGGCTACTG-1\n:   0CGGTTCCGTTAAGCCA-1\n:   0CGTAGTTAGCAACAAG-1\n:   0CGTAGTTAGTTGCGTG-1\n:   0CGTATTGCAGGCTGTT-1\n:   0CGTGCTGCATCCCGCT-1\n:   0CGTGTTACAAAGGTAC-1\n:   0CGTTATCGTTAAATGC-1\n:   0CGTTATTTCCCTCAAC-1\n:   1CGTTGCAAGTCGCAAT-1\n:   2CTAAGGTTCCTTCAAT-1\n:   1CTACCGGCACCCACAG-1\n:   0CTAGTCGAGCATTTCT-1\n:   0CTAGTTGCACTAAGTT-1\n:   0CTATGACAGATAGACG-1\n:   0CTATGAGGTTGCATCT-1\n:   1CTATGAGGTTTCCACG-1\n:   2CTATGATCATTGCGTA-1\n:   1CTCACTCAGGTGAAAT-1\n:   0CTCCTCACAATGCCTA-1\n:   0CTCGTTATCACGCCAA-1\n:   0CTCTCACAGCGCTAAT-1\n:   0CTGACCAAGGACCAGG-1\n:   0CTGGCTTTCAATGACC-1\n:   0CTGGCTTTCGCTATAA-1\n:   0CTGGTCAAGTTACTTC-1\n:   0CTGGTTACAATAGTCT-1\n:   1CTGTTGGAGGTCCAAT-1\n:   0CTTAAGATCCTTCAAT-1\n:   0CTTCACTCACAATACT-1\n:   0CTTCGCGTCAGCACCA-1\n:   0CTTCTCAAGGACCTGC-1\n:   0CTTCTCAAGTTATCCT-1\n:   1CTTGACGAGCGATAGA-1\n:   0CTTGCTCAGTTTGGTA-1\n:   1CTTTAGTTCAAGTGTC-1\n:   1CTTTAGTTCACTCAAA-1\n:   0CTTTATCAGCACAGAA-1\n:   0CTTTATCAGTTATCCT-1\n:   2CTTTATCAGTTTGGTA-1\n:   0CTTTATGGTTGTCCAT-1\n:   0GAAACCCGTTAAGTGT-1\n:   0GAAACCCGTTACTAGG-1\n:   0GAAGCCTGTTATTGCC-1\n:   1GAAGTCAAGCCAGGTC-1\n:   0GAATTTGTCCCGTTAC-1\n:   0GACAATACAGCCTGCA-1\n:   1GACACTAGTTTGCGAA-1\n:   0GACATTATCCTTAGGG-1\n:   0GACGTAAAGTAAACCC-1\n:   1GACTAATGTTTAGTCC-1\n:   0GAGAACCAGTCGCAAT-1\n:   0GAGATAAGTCTTTATG-1\n:   2GAGCTTAGTATGTGGC-1\n:   0GAGGCTACAATTAAGG-1\n:   0GAGGTACAGGACCAGG-1\n:   0GAGGTAGGTTGCGTAA-1\n:   0GAGTAATAGGTCGATT-1\n:   0GAGTCATTCGGGCCAT-1\n:   0GAGTTTGGTTGTGACA-1\n:   0GATAATCGTACTGAAT-1\n:   0GATGCATTCACAGACT-1\n:   0GATTACGGTACCGGAT-1\n:   0GATTAGCTCTCGCCCA-1\n:   0GATTCAATCGGTCAAT-1\n:   0GATTCATCATTATCCC-1\n:   0GATTCGCCAATTTGGT-1\n:   0GATTGCAGTACGGGTT-1\n:   0GATTTGCAGCGGTTAT-1\n:   0GATTTGCAGGTGAAAT-1\n:   0GCAAACTTCGGCCATA-1\n:   0GCAGCAACATAGTCAT-1\n:   1GCAGGATAGATTCCTT-1\n:   0GCAGGCAAGATAAAGC-1\n:   0GCAGGCTTCATTTAGG-1\n:   1GCATCCTTCCGTCCAT-1\n:   0GCATCCTTCCTGTTCA-1\n:   0GCATGAAAGGCGCACT-1\n:   0GCATTAGGTTTGTCTA-1\n:   1GCCAACATCTGTTCAT-1\n:   0GCCCTCATCACGCATG-1\n:   0GCCCTCATCCGCCTCA-1\n:   0GCCCTCATCGTTACAA-1\n:   0GCCTCAAAGCCAGGTC-1\n:   2GCCTCCATCCTTGCAC-1\n:   0GCCTCCATCTAACCTT-1\n:   0GCCTGAGGTTGTAACG-1\n:   0GCCTTAGAGCCTGGTA-1\n:   0GCGAAGCCAATCGCAC-1\n:   0GCGAAGTAGAAAGGAA-1\n:   0GCGAGTGAGGACTAAG-1\n:   0GCGCGATTCCAAGTTA-1\n:   0GCGCTTGCAGGAACAT-1\n:   0GCGTTTCTCCTAAGTA-1\n:   1GCTAACAGTAGCCTAA-1\n:   1GCTAACAGTAGCTGGT-1\n:   0GCTAACAGTATTGGAT-1\n:   0GCTAAGCGTGCAACTA-1\n:   0GCTCATTGTTAAGCCA-1\n:   1GCTCCTTAGGACCAGG-1\n:   0GCTGAGGAGGGTCTAT-1\n:   0GCTGGATGTCCTAATC-1\n:   0GCTGGTTCAACAGGTG-1\n:   0GCTGTAAGTCATAAGT-1\n:   0GCTTCGCGTTAAGGTT-1\n:   0GGACAGCCAGCAATAA-1\n:   0GGACTAAAGTCGCAAT-1\n:   0GGAGCAAGTATTTGCC-1\n:   0GGAGCGATCCCGTTAC-1\n:   0GGAGTGAGTCGTTATC-1\n:   0GGCAAATCAACTCGCG-1\n:   0GGCAAATCATCCTAGA-1\n:   0GGCAAGCCAGGCAAGC-1\n:   0GGCAGGATCAGGAAGC-1\n:   0GGCATTGTCATGAGCT-1\n:   0GGCCAGTTCATGCTTT-1\n:   1GGCCAGTTCCCTCAAC-1\n:   0GGCCAGTTCCCTCAGT-1\n:   1GGCCAGTTCGTCAAGT-1\n:   0GGCCATCAGAGGGACT-1\n:   0GGCCTTCGTTGCAGTA-1\n:   0GGCTGTCAGCGCATTG-1\n:   0GGGATAATCAGCTAAC-1\n:   0GGGATAATCCTTAGTT-1\n:   0GGGATAATCTAAGTCA-1\n:   0GGGATAATCTCGCCCA-1\n:   0GGGATTAAGTCGCAAT-1\n:   0GGGTTTGTCGCAAACT-1\n:   0GGTACAAAGGCATGAA-1\n:   0GGTACTTAGTAACTCA-1\n:   1GGTCCGTAGGATTGAG-1\n:   1GGTGTCCAGGGTTAGA-1\n:   0GGTTCTTGTAACGTGC-1\n:   0GGTTCTTGTCTTTATG-1\n:   0GGTTGACGTATGTGGC-1\n:   0GGTTGACGTGTTGCAA-1\n:   0GTAAGCAAGGAACCAA-1\n:   2GTAAGCAAGGGCTAAA-1\n:   0GTACCTTGTGTCACGG-1\n:   0GTACGTAGTTTCCGGC-1\n:   0GTACTTAAGGAACCAA-1\n:   0GTAGCCATCAGGCCTA-1\n:   0GTAGCCATCTAACCAA-1\n:   0GTAGCCATCTGTGAGT-1\n:   0GTAGGTGCAAACCTAT-1\n:   0GTAGTTATCGCTAGTG-1\n:   0GTAGTTTCACGAATCC-1\n:   0GTCCATTGTTAAGCGC-1\n:   0GTCCTAGAGTTCCTCA-1\n:   0GTCCTCAGTCACGGAT-1\n:   0GTCGAAGCATTCAGCA-1\n:   0GTGAGGAGTAATGACT-1\n:   0GTGCGGTTCATAAGCC-1\n:   1GTGCTCCGTACTGATG-1\n:   0GTGTAACTCAAACACC-1\n:   0GTGTGTTAGCTCATAA-1\n:   0GTTAAACGTGTTAGCA-1\n:   0GTTAACGGTACGGTAC-1\n:   0GTTAACGGTCAAGACC-1\n:   0GTTAACGGTCTTTATG-1\n:   0GTTAAGTGTTAGCAGC-1\n:   0GTTAATGTCTTAATGG-1\n:   0GTTACTAAGCACTAAC-1\n:   0GTTACTCGTTCCGCAC-1\n:   0GTTAGGCGTTAGTACG-1\n:   0GTTCACCTCCCTGACT-1\n:   1GTTCTTAGTTACATCC-1\n:   0GTTCTTGTCGAAGTGA-1\n:   0GTTGCCCGTAGCCTAA-1\n:   0GTTGGCCAGGGATTAG-1\n:   0GTTTACCGTTCCGCAC-1\n:   1GTTTGCTGTACGGGTT-1\n:   0GTTTGTAAGTAAGTGG-1\n:   0GTTTGTCGTCATGAGC-1\n:   0TAAGCTGGTTCGGTAA-1\n:   0TAATCCGCAAAGGTAC-1\n:   0TACAAGCTCATTACAG-1\n:   0TACCAGGTCTTGTCCA-1\n:   0TACCGAAGTGCTTACT-1\n:   0TACCGAAGTTCGGGAT-1\n:   0TACCGAAGTTGGTGAC-1\n:   0TAGACCAGTCAAGTAT-1\n:   0TAGACCAGTTGCAATG-1\n:   0TAGAGCCGTCCTGATT-1\n:   0TAGAGCCGTGCTCCAC-1\n:   0TAGAGCCGTTACAAAC-1\n:   0TAGCAGGCATAGCTTG-1\n:   0TAGCTTGCAGCTTAGC-1\n:   0TAGGAACCACTTCACT-1\n:   0TAGGAGTCACTTGTTC-1\n:   1TAGGAGTCATCTAGCA-1\n:   0TAGGTGCGTAGCCTCC-1\n:   0TAGTAACGTCCAAATG-1\n:   0TAGTACGGTCGCAATA-1\n:   0TAGTGTGGTTAAGCTG-1\n:   1TATAGCTCAAGCGATG-1\n:   0\n\n\n**Levels**: 1. '0'\n2. '1'\n3. '2'\n\n\n","text/latex":"\\begin{description*}\n\\item[AAACATGCATGCATAT-1] 1\n\\item[AAACATGCATTCCTGT-1] 0\n\\item[AAACGCGCAGCGCTTG-1] 0\n\\item[AAACGCGCATTATGGT-1] 0\n\\item[AAACGTACAGGATAAC-1] 0\n\\item[AAAGCCCGTATGTGGC-1] 0\n\\item[AAAGCCCGTCACGGAT-1] 0\n\\item[AAAGCCCGTCTTTATG-1] 2\n\\item[AAAGCCCGTTTAGTCC-1] 1\n\\item[AAAGCCGCACCCTCAC-1] 0\n\\item[AAAGCCGCACGTTACA-1] 0\n\\item[AACAAAGGTTCCAGGG-1] 0\n\\item[AACATCATCTCTAGCC-1] 0\n\\item[AACTACTCAAGGTGCA-1] 0\n\\item[AACTGTTCATCCCTCA-1] 0\n\\item[AACTTAGTCAATGAGG-1] 0\n\\item[AAGACAAGTCCGTAGG-1] 0\n\\item[AAGCCACGTAACCTAG-1] 0\n\\item[AAGCCTTAGGCATGAA-1] 0\n\\item[AAGCGCTGTAAAGCGG-1] 0\n\\item[AAGCGCTGTACGTTTC-1] 0\n\\item[AAGCGGGTCGCATCCT-1] 0\n\\item[AAGGAAGCAATTGCGC-1] 0\n\\item[AAGGAAGCACAAAGCG-1] 0\n\\item[AAGGAAGCAGGGAGGA-1] 0\n\\item[AAGGAAGCAGGTTCAC-1] 0\n\\item[AAGGCCCTCATTAGCA-1] 0\n\\item[AAGGTGCAGCTAGAAG-1] 1\n\\item[AAGTGAAGTTAAGGCC-1] 0\n\\item[AAGTGTTGTGGTTCCC-1] 0\n\\item[AATCCTAAGCATGACT-1] 0\n\\item[AATCTTGAGCCTGATG-1] 2\n\\item[AATGGCGCAAACCCTA-1] 1\n\\item[AATTGCCAGCGAGGTG-1] 0\n\\item[AATTTGGTCACTCGCT-1] 0\n\\item[ACAACATGTTGGATAT-1] 0\n\\item[ACACTTGCAATAGTCT-1] 1\n\\item[ACACTTGCATTGCGGT-1] 0\n\\item[ACAGCCGGTCTTGCTG-1] 0\n\\item[ACAGCGCTCTACCTCA-1] 2\n\\item[ACAGTATGTCTTGCTG-1] 1\n\\item[ACATTGCAGGAGTAAT-1] 0\n\\item[ACATTGCAGGTACCGC-1] 1\n\\item[ACCAAGTTCCTAAGTA-1] 1\n\\item[ACCACATAGAGCCGGA-1] 0\n\\item[ACCCAACCAGGTTTGC-1] 0\n\\item[ACCCGCTGTAACGAGG-1] 0\n\\item[ACCCGCTGTAGCCTCC-1] 0\n\\item[ACCCGCTGTTAGGTTG-1] 0\n\\item[ACCCGGTAGACTCGCA-1] 0\n\\item[ACCCTCCCAAGCCAGA-1] 0\n\\item[ACCGGTTCAGCATTAT-1] 0\n\\item[ACCTCACTCAAGACTC-1] 0\n\\item[ACCTGGATCGTCATTT-1] 0\n\\item[ACGAACAAGCGCTAAT-1] 0\n\\item[ACGCAAGCAGTTTGGC-1] 0\n\\item[ACGCCACAGGACTAAG-1] 0\n\\item[ACGCCTAAGTCGCAAT-1] 0\n\\item[ACTAACCAGGATCCGC-1] 0\n\\item[ACTAACGGTGGAAACG-1] 0\n\\item[ACTATCCGTACTAAAC-1] 0\n\\item[ACTCGCTTCAATACGC-1] 0\n\\item[ACTTAGTCAGGTCCTG-1] 0\n\\item[ACTTATGAGTTACTTC-1] 1\n\\item[ACTTGTCGTATGTGGC-1] 1\n\\item[AGAATCGAGTATGTGC-1] 2\n\\item[AGACTATGTACTAAAC-1] 0\n\\item[AGACTATGTTTCCTCC-1] 0\n\\item[AGATGAAGTTAGCGTA-1] 0\n\\item[AGCAACAAGCGTGCAC-1] 0\n\\item[AGCAATACAACACCTA-1] 0\n\\item[AGCCTAAGTCGCATAA-1] 0\n\\item[AGCCTAGTCATCCTAT-1] 0\n\\item[AGCGGACCACAAGCCT-1] 0\n\\item[AGCGGATAGGACTAAG-1] 0\n\\item[AGCTAGTTCAGGTTTA-1] 0\n\\item[AGCTCATAGAAAGCAT-1] 0\n\\item[AGCTTCCTCCGTTATT-1] 0\n\\item[AGCTTGGTCACTCAAA-1] 1\n\\item[AGGAAACGTTAAGTGT-1] 0\n\\item[AGGAACCAGATACTTG-1] 0\n\\item[AGGAACGGTTGCAGTA-1] 0\n\\item[AGGATGCAGGGATGAC-1] 0\n\\item[AGGTAACCATGTCGCG-1] 0\n\\item[AGGTGAATCTTAGTCT-1] 0\n\\item[AGTAAACAGCTTCTCA-1] 0\n\\item[AGTAGCTTCGGTTACG-1] 0\n\\item[AGTAGGATCCTAAGAC-1] 0\n\\item[AGTCGCATCAAGCTTA-1] 0\n\\item[AGTCGCATCCTCCATA-1] 0\n\\item[AGTGAACCATGGTTAT-1] 0\n\\item[AGTGCCGGTCCTGATT-1] 2\n\\item[AGTGGACAGGACTTAC-1] 1\n\\item[AGTGTGGCAGCAAGTG-1] 1\n\\item[AGTTGGCGTTACGCAA-1] 0\n\\item[AGTTGTCAGCCAAATC-1] 1\n\\item[ATATAGGCAATTGCGC-1] 0\n\\item[ATCAATCCACCATATG-1] 0\n\\item[ATCCCGCGTTAGAGCC-1] 0\n\\item[ATCCGTGAGGAGCATA-1] 1\n\\item[ATCCTTAGTACGATTG-1] 0\n\\item[ATCGCTTGTTGAAGCC-1] 0\n\\item[ATGATGACAGACAAAC-1] 0\n\\item[ATGATGACATTATGGT-1] 0\n\\item[ATGGCCGGTCTTTATG-1] 0\n\\item[ATTACGTCACTGACCG-1] 0\n\\item[ATTATGGTCGCCTAAG-1] 0\n\\item[ATTCATGAGAGGGACT-1] 0\n\\item[ATTCCTAGTCCACAAA-1] 0\n\\item[ATTGCAGGTCAGGCCA-1] 0\n\\item[ATTGCTCGTAATTAGC-1] 0\n\\item[CAAACATGTAATGACT-1] 0\n\\item[CAAACTGGTGCCGCAA-1] 1\n\\item[CAAATCATCTACTAAG-1] 0\n\\item[CAACCGGGTACAAAGA-1] 2\n\\item[CAACCGGGTCTTGCAT-1] 1\n\\item[CAACCGGGTTCCTGAT-1] 0\n\\item[CAACCGGGTTGTGACA-1] 0\n\\item[CAAGGCTGTCGCAATA-1] 0\n\\item[CAAGGCTGTCTTGCTG-1] 1\n\\item[CAAGGGAGTACTAAAC-1] 0\n\\item[CAAGTATGTACTAAAC-1] 0\n\\item[CAAGTGAAGCACAGAA-1] 0\n\\item[CAATCTAAGGAGGCAT-1] 0\n\\item[CAATGACTCCAAGTTA-1] 0\n\\item[CAATGACTCTTGCAGG-1] 0\n\\item[CAATGTCAGGTAAGCA-1] 1\n\\item[CACAAGCGTTTCCACG-1] 0\n\\item[CACAATATCGTAACGT-1] 1\n\\item[CACATAATCGCACAAT-1] 1\n\\item[CACATAATCTAGCGAT-1] 0\n\\item[CACATAATCTGGCTTC-1] 0\n\\item[CACATGCCACAGGAAT-1] 0\n\\item[CACATTAAGTGCTGTG-1] 0\n\\item[CACTAAGGTAGTTACG-1] 0\n\\item[CACTAAGGTGAGAAAC-1] 1\n\\item[CACTTTGTCCTGATGG-1] 0\n\\item[CAGAACCGTCGTTATC-1] 0\n\\item[CAGCAAGCAATATGGA-1] 0\n\\item[CAGCAAGCAGTAAGTA-1] 0\n\\item[CAGCCTTTCACCTGCT-1] 0\n\\item[CATAACGGTGAGGTAG-1] 1\n\\item[CATAAGCTCGCACACA-1] 0\n\\item[CATAGCTAGTTACTTC-1] 1\n\\item[CATAGTCAGTTACTTC-1] 1\n\\item[CATCAGCCAATAGTCT-1] 0\n\\item[CATCAGCCAATCATGT-1] 0\n\\item[CATCAGCCAGGATGGC-1] 0\n\\item[CATCCTCAGAGAGGAG-1] 1\n\\item[CATCCTTCAAGGAATC-1] 0\n\\item[CATCCTTCACAGGGAC-1] 0\n\\item[CATCCTTCACCTACGG-1] 0\n\\item[CATCCTTCACCTGTAA-1] 0\n\\item[CATGAGGCAAATATCC-1] 0\n\\item[CATGAGGCATTGCGAC-1] 0\n\\item[CATTATCTCAGTGAAG-1] 1\n\\item[CATTGCGAGCTAGAAG-1] 0\n\\item[CATTGTGCAGCAAGTG-1] 0\n\\item[CCAACCAAGTTACTTC-1] 0\n\\item[CCAACCCGTATGTGGC-1] 2\n\\item[CCAATATCATTCCTCG-1] 0\n\\item[CCACTTGGTCATCCTG-1] 1\n\\item[CCAGACTCAAAGCGCA-1] 0\n\\item[CCAGGATGTTACAAAC-1] 1\n\\item[CCATAGCCAATGAGGT-1] 0\n\\item[CCATATTTCGGTTAGT-1] 0\n\\item[CCATTATTCCTTGTTG-1] 0\n\\item[CCCAGCACAGGCAAGC-1] 0\n\\item[CCCATAACATGAGTTT-1] 1\n\\item[CCCTTAATCACAGCGC-1] 0\n\\item[CCCTTAATCTCAATTC-1] 0\n\\item[CCGCTAAAGGCCGGAA-1] 0\n\\item[CCGGTAGGTTACGCAA-1] 0\n\\item[CCGGTTAAGTTTGGGT-1] 1\n\\item[CCGTTGCGTGCAATAT-1] 0\n\\item[CCTAAAGGTTGCAGTA-1] 0\n\\item[CCTAAGCCATAATCAC-1] 0\n\\item[CCTAATAAGAGGAAGG-1] 0\n\\item[CCTAATAAGTATGTGC-1] 0\n\\item[CCTAGTTGTCTTTATG-1] 0\n\\item[CCTCCTCTCGTCCTTA-1] 0\n\\item[CCTGGATCAGGACCTT-1] 0\n\\item[CCTTACTCAGGCTACT-1] 0\n\\item[CCTTCGGTCCAAGTTA-1] 0\n\\item[CCTTCGGTCTGTGCAG-1] 0\n\\item[CCTTGCGTCATTATGG-1] 0\n\\item[CGAAATGAGGTCGAGG-1] 0\n\\item[CGAACCGGTAACAGGG-1] 0\n\\item[CGATGTCCAGGTTATT-1] 1\n\\item[CGATTGAGTAGACAAA-1] 0\n\\item[CGCAAATTCACAAGCT-1] 1\n\\item[CGCACACAGTATGTGC-1] 0\n\\item[CGCATATAGATGGAGC-1] 0\n\\item[CGCATATAGCATTAGC-1] 0\n\\item[CGCATATAGCTTAGTA-1] 0\n\\item[CGCCAAATCCAATAGC-1] 0\n\\item[CGCTAATAGATTGAGG-1] 1\n\\item[CGCTACTTCCAATAGC-1] 0\n\\item[CGCTTAACATTAAAGG-1] 1\n\\item[CGCTTGCGTATGTGGC-1] 0\n\\item[CGGAATCGTACCGAAC-1] ⋯\n\\item[CGGATAAAGTCTATGA-1] 0\n\\item[CGGCCATAGCGGATTT-1] 0\n\\item[CGGCTAATCCTTCAAT-1] 0\n\\item[CGGCTAATCTGTGCCT-1] 0\n\\item[CGGTTATAGGCTACTG-1] 0\n\\item[CGGTTCCGTTAAGCCA-1] 0\n\\item[CGTAGTTAGCAACAAG-1] 0\n\\item[CGTAGTTAGTTGCGTG-1] 0\n\\item[CGTATTGCAGGCTGTT-1] 0\n\\item[CGTGCTGCATCCCGCT-1] 0\n\\item[CGTGTTACAAAGGTAC-1] 0\n\\item[CGTTATCGTTAAATGC-1] 0\n\\item[CGTTATTTCCCTCAAC-1] 1\n\\item[CGTTGCAAGTCGCAAT-1] 2\n\\item[CTAAGGTTCCTTCAAT-1] 1\n\\item[CTACCGGCACCCACAG-1] 0\n\\item[CTAGTCGAGCATTTCT-1] 0\n\\item[CTAGTTGCACTAAGTT-1] 0\n\\item[CTATGACAGATAGACG-1] 0\n\\item[CTATGAGGTTGCATCT-1] 1\n\\item[CTATGAGGTTTCCACG-1] 2\n\\item[CTATGATCATTGCGTA-1] 1\n\\item[CTCACTCAGGTGAAAT-1] 0\n\\item[CTCCTCACAATGCCTA-1] 0\n\\item[CTCGTTATCACGCCAA-1] 0\n\\item[CTCTCACAGCGCTAAT-1] 0\n\\item[CTGACCAAGGACCAGG-1] 0\n\\item[CTGGCTTTCAATGACC-1] 0\n\\item[CTGGCTTTCGCTATAA-1] 0\n\\item[CTGGTCAAGTTACTTC-1] 0\n\\item[CTGGTTACAATAGTCT-1] 1\n\\item[CTGTTGGAGGTCCAAT-1] 0\n\\item[CTTAAGATCCTTCAAT-1] 0\n\\item[CTTCACTCACAATACT-1] 0\n\\item[CTTCGCGTCAGCACCA-1] 0\n\\item[CTTCTCAAGGACCTGC-1] 0\n\\item[CTTCTCAAGTTATCCT-1] 1\n\\item[CTTGACGAGCGATAGA-1] 0\n\\item[CTTGCTCAGTTTGGTA-1] 1\n\\item[CTTTAGTTCAAGTGTC-1] 1\n\\item[CTTTAGTTCACTCAAA-1] 0\n\\item[CTTTATCAGCACAGAA-1] 0\n\\item[CTTTATCAGTTATCCT-1] 2\n\\item[CTTTATCAGTTTGGTA-1] 0\n\\item[CTTTATGGTTGTCCAT-1] 0\n\\item[GAAACCCGTTAAGTGT-1] 0\n\\item[GAAACCCGTTACTAGG-1] 0\n\\item[GAAGCCTGTTATTGCC-1] 1\n\\item[GAAGTCAAGCCAGGTC-1] 0\n\\item[GAATTTGTCCCGTTAC-1] 0\n\\item[GACAATACAGCCTGCA-1] 1\n\\item[GACACTAGTTTGCGAA-1] 0\n\\item[GACATTATCCTTAGGG-1] 0\n\\item[GACGTAAAGTAAACCC-1] 1\n\\item[GACTAATGTTTAGTCC-1] 0\n\\item[GAGAACCAGTCGCAAT-1] 0\n\\item[GAGATAAGTCTTTATG-1] 2\n\\item[GAGCTTAGTATGTGGC-1] 0\n\\item[GAGGCTACAATTAAGG-1] 0\n\\item[GAGGTACAGGACCAGG-1] 0\n\\item[GAGGTAGGTTGCGTAA-1] 0\n\\item[GAGTAATAGGTCGATT-1] 0\n\\item[GAGTCATTCGGGCCAT-1] 0\n\\item[GAGTTTGGTTGTGACA-1] 0\n\\item[GATAATCGTACTGAAT-1] 0\n\\item[GATGCATTCACAGACT-1] 0\n\\item[GATTACGGTACCGGAT-1] 0\n\\item[GATTAGCTCTCGCCCA-1] 0\n\\item[GATTCAATCGGTCAAT-1] 0\n\\item[GATTCATCATTATCCC-1] 0\n\\item[GATTCGCCAATTTGGT-1] 0\n\\item[GATTGCAGTACGGGTT-1] 0\n\\item[GATTTGCAGCGGTTAT-1] 0\n\\item[GATTTGCAGGTGAAAT-1] 0\n\\item[GCAAACTTCGGCCATA-1] 0\n\\item[GCAGCAACATAGTCAT-1] 1\n\\item[GCAGGATAGATTCCTT-1] 0\n\\item[GCAGGCAAGATAAAGC-1] 0\n\\item[GCAGGCTTCATTTAGG-1] 1\n\\item[GCATCCTTCCGTCCAT-1] 0\n\\item[GCATCCTTCCTGTTCA-1] 0\n\\item[GCATGAAAGGCGCACT-1] 0\n\\item[GCATTAGGTTTGTCTA-1] 1\n\\item[GCCAACATCTGTTCAT-1] 0\n\\item[GCCCTCATCACGCATG-1] 0\n\\item[GCCCTCATCCGCCTCA-1] 0\n\\item[GCCCTCATCGTTACAA-1] 0\n\\item[GCCTCAAAGCCAGGTC-1] 2\n\\item[GCCTCCATCCTTGCAC-1] 0\n\\item[GCCTCCATCTAACCTT-1] 0\n\\item[GCCTGAGGTTGTAACG-1] 0\n\\item[GCCTTAGAGCCTGGTA-1] 0\n\\item[GCGAAGCCAATCGCAC-1] 0\n\\item[GCGAAGTAGAAAGGAA-1] 0\n\\item[GCGAGTGAGGACTAAG-1] 0\n\\item[GCGCGATTCCAAGTTA-1] 0\n\\item[GCGCTTGCAGGAACAT-1] 0\n\\item[GCGTTTCTCCTAAGTA-1] 1\n\\item[GCTAACAGTAGCCTAA-1] 1\n\\item[GCTAACAGTAGCTGGT-1] 0\n\\item[GCTAACAGTATTGGAT-1] 0\n\\item[GCTAAGCGTGCAACTA-1] 0\n\\item[GCTCATTGTTAAGCCA-1] 1\n\\item[GCTCCTTAGGACCAGG-1] 0\n\\item[GCTGAGGAGGGTCTAT-1] 0\n\\item[GCTGGATGTCCTAATC-1] 0\n\\item[GCTGGTTCAACAGGTG-1] 0\n\\item[GCTGTAAGTCATAAGT-1] 0\n\\item[GCTTCGCGTTAAGGTT-1] 0\n\\item[GGACAGCCAGCAATAA-1] 0\n\\item[GGACTAAAGTCGCAAT-1] 0\n\\item[GGAGCAAGTATTTGCC-1] 0\n\\item[GGAGCGATCCCGTTAC-1] 0\n\\item[GGAGTGAGTCGTTATC-1] 0\n\\item[GGCAAATCAACTCGCG-1] 0\n\\item[GGCAAATCATCCTAGA-1] 0\n\\item[GGCAAGCCAGGCAAGC-1] 0\n\\item[GGCAGGATCAGGAAGC-1] 0\n\\item[GGCATTGTCATGAGCT-1] 0\n\\item[GGCCAGTTCATGCTTT-1] 1\n\\item[GGCCAGTTCCCTCAAC-1] 0\n\\item[GGCCAGTTCCCTCAGT-1] 1\n\\item[GGCCAGTTCGTCAAGT-1] 0\n\\item[GGCCATCAGAGGGACT-1] 0\n\\item[GGCCTTCGTTGCAGTA-1] 0\n\\item[GGCTGTCAGCGCATTG-1] 0\n\\item[GGGATAATCAGCTAAC-1] 0\n\\item[GGGATAATCCTTAGTT-1] 0\n\\item[GGGATAATCTAAGTCA-1] 0\n\\item[GGGATAATCTCGCCCA-1] 0\n\\item[GGGATTAAGTCGCAAT-1] 0\n\\item[GGGTTTGTCGCAAACT-1] 0\n\\item[GGTACAAAGGCATGAA-1] 0\n\\item[GGTACTTAGTAACTCA-1] 1\n\\item[GGTCCGTAGGATTGAG-1] 1\n\\item[GGTGTCCAGGGTTAGA-1] 0\n\\item[GGTTCTTGTAACGTGC-1] 0\n\\item[GGTTCTTGTCTTTATG-1] 0\n\\item[GGTTGACGTATGTGGC-1] 0\n\\item[GGTTGACGTGTTGCAA-1] 0\n\\item[GTAAGCAAGGAACCAA-1] 2\n\\item[GTAAGCAAGGGCTAAA-1] 0\n\\item[GTACCTTGTGTCACGG-1] 0\n\\item[GTACGTAGTTTCCGGC-1] 0\n\\item[GTACTTAAGGAACCAA-1] 0\n\\item[GTAGCCATCAGGCCTA-1] 0\n\\item[GTAGCCATCTAACCAA-1] 0\n\\item[GTAGCCATCTGTGAGT-1] 0\n\\item[GTAGGTGCAAACCTAT-1] 0\n\\item[GTAGTTATCGCTAGTG-1] 0\n\\item[GTAGTTTCACGAATCC-1] 0\n\\item[GTCCATTGTTAAGCGC-1] 0\n\\item[GTCCTAGAGTTCCTCA-1] 0\n\\item[GTCCTCAGTCACGGAT-1] 0\n\\item[GTCGAAGCATTCAGCA-1] 0\n\\item[GTGAGGAGTAATGACT-1] 0\n\\item[GTGCGGTTCATAAGCC-1] 1\n\\item[GTGCTCCGTACTGATG-1] 0\n\\item[GTGTAACTCAAACACC-1] 0\n\\item[GTGTGTTAGCTCATAA-1] 0\n\\item[GTTAAACGTGTTAGCA-1] 0\n\\item[GTTAACGGTACGGTAC-1] 0\n\\item[GTTAACGGTCAAGACC-1] 0\n\\item[GTTAACGGTCTTTATG-1] 0\n\\item[GTTAAGTGTTAGCAGC-1] 0\n\\item[GTTAATGTCTTAATGG-1] 0\n\\item[GTTACTAAGCACTAAC-1] 0\n\\item[GTTACTCGTTCCGCAC-1] 0\n\\item[GTTAGGCGTTAGTACG-1] 0\n\\item[GTTCACCTCCCTGACT-1] 1\n\\item[GTTCTTAGTTACATCC-1] 0\n\\item[GTTCTTGTCGAAGTGA-1] 0\n\\item[GTTGCCCGTAGCCTAA-1] 0\n\\item[GTTGGCCAGGGATTAG-1] 0\n\\item[GTTTACCGTTCCGCAC-1] 1\n\\item[GTTTGCTGTACGGGTT-1] 0\n\\item[GTTTGTAAGTAAGTGG-1] 0\n\\item[GTTTGTCGTCATGAGC-1] 0\n\\item[TAAGCTGGTTCGGTAA-1] 0\n\\item[TAATCCGCAAAGGTAC-1] 0\n\\item[TACAAGCTCATTACAG-1] 0\n\\item[TACCAGGTCTTGTCCA-1] 0\n\\item[TACCGAAGTGCTTACT-1] 0\n\\item[TACCGAAGTTCGGGAT-1] 0\n\\item[TACCGAAGTTGGTGAC-1] 0\n\\item[TAGACCAGTCAAGTAT-1] 0\n\\item[TAGACCAGTTGCAATG-1] 0\n\\item[TAGAGCCGTCCTGATT-1] 0\n\\item[TAGAGCCGTGCTCCAC-1] 0\n\\item[TAGAGCCGTTACAAAC-1] 0\n\\item[TAGCAGGCATAGCTTG-1] 0\n\\item[TAGCTTGCAGCTTAGC-1] 0\n\\item[TAGGAACCACTTCACT-1] 0\n\\item[TAGGAGTCACTTGTTC-1] 1\n\\item[TAGGAGTCATCTAGCA-1] 0\n\\item[TAGGTGCGTAGCCTCC-1] 0\n\\item[TAGTAACGTCCAAATG-1] 0\n\\item[TAGTACGGTCGCAATA-1] 0\n\\item[TAGTGTGGTTAAGCTG-1] 1\n\\item[TATAGCTCAAGCGATG-1] 0\n\\end{description*}\n\n\\emph{Levels}: \\begin{enumerate*}\n\\item '0'\n\\item '1'\n\\item '2'\n\\end{enumerate*}\n","text/plain":"AAACATGCATGCATAT-1 AAACATGCATTCCTGT-1 AAACGCGCAGCGCTTG-1 AAACGCGCATTATGGT-1 \n                 1                  0                  0                  0 \nAAACGTACAGGATAAC-1 AAAGCCCGTATGTGGC-1 AAAGCCCGTCACGGAT-1 AAAGCCCGTCTTTATG-1 \n                 0                  0                  0                  2 \nAAAGCCCGTTTAGTCC-1 AAAGCCGCACCCTCAC-1 AAAGCCGCACGTTACA-1 AACAAAGGTTCCAGGG-1 \n                 1                  0                  0                  0 \nAACATCATCTCTAGCC-1 AACTACTCAAGGTGCA-1 AACTGTTCATCCCTCA-1 AACTTAGTCAATGAGG-1 \n                 0                  0                  0                  0 \nAAGACAAGTCCGTAGG-1 AAGCCACGTAACCTAG-1 AAGCCTTAGGCATGAA-1 AAGCGCTGTAAAGCGG-1 \n                 0                  0                  0                  0 \nAAGCGCTGTACGTTTC-1 AAGCGGGTCGCATCCT-1 AAGGAAGCAATTGCGC-1 AAGGAAGCACAAAGCG-1 \n                 0                  0                  0                  0 \nAAGGAAGCAGGGAGGA-1 AAGGAAGCAGGTTCAC-1 AAGGCCCTCATTAGCA-1 AAGGTGCAGCTAGAAG-1 \n                 0                  0                  0                  1 \nAAGTGAAGTTAAGGCC-1 AAGTGTTGTGGTTCCC-1 AATCCTAAGCATGACT-1 AATCTTGAGCCTGATG-1 \n                 0                  0                  0                  2 \nAATGGCGCAAACCCTA-1 AATTGCCAGCGAGGTG-1 AATTTGGTCACTCGCT-1 ACAACATGTTGGATAT-1 \n                 1                  0                  0                  0 \nACACTTGCAATAGTCT-1 ACACTTGCATTGCGGT-1 ACAGCCGGTCTTGCTG-1 ACAGCGCTCTACCTCA-1 \n                 1                  0                  0                  2 \nACAGTATGTCTTGCTG-1 ACATTGCAGGAGTAAT-1 ACATTGCAGGTACCGC-1 ACCAAGTTCCTAAGTA-1 \n                 1                  0                  1                  1 \nACCACATAGAGCCGGA-1 ACCCAACCAGGTTTGC-1 ACCCGCTGTAACGAGG-1 ACCCGCTGTAGCCTCC-1 \n                 0                  0                  0                  0 \nACCCGCTGTTAGGTTG-1 ACCCGGTAGACTCGCA-1 ACCCTCCCAAGCCAGA-1 ACCGGTTCAGCATTAT-1 \n                 0                  0                  0                  0 \nACCTCACTCAAGACTC-1 ACCTGGATCGTCATTT-1 ACGAACAAGCGCTAAT-1 ACGCAAGCAGTTTGGC-1 \n                 0                  0                  0                  0 \nACGCCACAGGACTAAG-1 ACGCCTAAGTCGCAAT-1 ACTAACCAGGATCCGC-1 ACTAACGGTGGAAACG-1 \n                 0                  0                  0                  0 \nACTATCCGTACTAAAC-1 ACTCGCTTCAATACGC-1 ACTTAGTCAGGTCCTG-1 ACTTATGAGTTACTTC-1 \n                 0                  0                  0                  1 \nACTTGTCGTATGTGGC-1 AGAATCGAGTATGTGC-1 AGACTATGTACTAAAC-1 AGACTATGTTTCCTCC-1 \n                 1                  2                  0                  0 \nAGATGAAGTTAGCGTA-1 AGCAACAAGCGTGCAC-1 AGCAATACAACACCTA-1 AGCCTAAGTCGCATAA-1 \n                 0                  0                  0                  0 \nAGCCTAGTCATCCTAT-1 AGCGGACCACAAGCCT-1 AGCGGATAGGACTAAG-1 AGCTAGTTCAGGTTTA-1 \n                 0                  0                  0                  0 \nAGCTCATAGAAAGCAT-1 AGCTTCCTCCGTTATT-1 AGCTTGGTCACTCAAA-1 AGGAAACGTTAAGTGT-1 \n                 0                  0                  1                  0 \nAGGAACCAGATACTTG-1 AGGAACGGTTGCAGTA-1 AGGATGCAGGGATGAC-1 AGGTAACCATGTCGCG-1 \n                 0                  0                  0                  0 \nAGGTGAATCTTAGTCT-1 AGTAAACAGCTTCTCA-1 AGTAGCTTCGGTTACG-1 AGTAGGATCCTAAGAC-1 \n                 0                  0                  0                  0 \nAGTCGCATCAAGCTTA-1 AGTCGCATCCTCCATA-1 AGTGAACCATGGTTAT-1 AGTGCCGGTCCTGATT-1 \n                 0                  0                  0                  2 \nAGTGGACAGGACTTAC-1 AGTGTGGCAGCAAGTG-1 AGTTGGCGTTACGCAA-1 AGTTGTCAGCCAAATC-1 \n                 1                  1                  0                  1 \nATATAGGCAATTGCGC-1 ATCAATCCACCATATG-1 ATCCCGCGTTAGAGCC-1 ATCCGTGAGGAGCATA-1 \n                 0                  0                  0                  1 \nATCCTTAGTACGATTG-1 ATCGCTTGTTGAAGCC-1 ATGATGACAGACAAAC-1 ATGATGACATTATGGT-1 \n                 0                  0                  0                  0 \nATGGCCGGTCTTTATG-1 ATTACGTCACTGACCG-1 ATTATGGTCGCCTAAG-1 ATTCATGAGAGGGACT-1 \n                 0                  0                  0                  0 \nATTCCTAGTCCACAAA-1 ATTGCAGGTCAGGCCA-1 ATTGCTCGTAATTAGC-1 CAAACATGTAATGACT-1 \n                 0                  0                  0                  0 \nCAAACTGGTGCCGCAA-1 CAAATCATCTACTAAG-1 CAACCGGGTACAAAGA-1 CAACCGGGTCTTGCAT-1 \n                 1                  0                  2                  1 \nCAACCGGGTTCCTGAT-1 CAACCGGGTTGTGACA-1 CAAGGCTGTCGCAATA-1 CAAGGCTGTCTTGCTG-1 \n                 0                  0                  0                  1 \nCAAGGGAGTACTAAAC-1 CAAGTATGTACTAAAC-1 CAAGTGAAGCACAGAA-1 CAATCTAAGGAGGCAT-1 \n                 0                  0                  0                  0 \nCAATGACTCCAAGTTA-1 CAATGACTCTTGCAGG-1 CAATGTCAGGTAAGCA-1 CACAAGCGTTTCCACG-1 \n                 0                  0                  1                  0 \nCACAATATCGTAACGT-1 CACATAATCGCACAAT-1 CACATAATCTAGCGAT-1 CACATAATCTGGCTTC-1 \n                 1                  1                  0                  0 \nCACATGCCACAGGAAT-1 CACATTAAGTGCTGTG-1 CACTAAGGTAGTTACG-1 CACTAAGGTGAGAAAC-1 \n                 0                  0                  0                  1 \nCACTTTGTCCTGATGG-1 CAGAACCGTCGTTATC-1 CAGCAAGCAATATGGA-1 CAGCAAGCAGTAAGTA-1 \n                 0                  0                  0                  0 \nCAGCCTTTCACCTGCT-1 CATAACGGTGAGGTAG-1 CATAAGCTCGCACACA-1 CATAGCTAGTTACTTC-1 \n                 0                  1                  0                  1 \nCATAGTCAGTTACTTC-1 CATCAGCCAATAGTCT-1 CATCAGCCAATCATGT-1 CATCAGCCAGGATGGC-1 \n                 1                  0                  0                  0 \nCATCCTCAGAGAGGAG-1 CATCCTTCAAGGAATC-1 CATCCTTCACAGGGAC-1 CATCCTTCACCTACGG-1 \n                 1                  0                  0                  0 \nCATCCTTCACCTGTAA-1 CATGAGGCAAATATCC-1 CATGAGGCATTGCGAC-1 CATTATCTCAGTGAAG-1 \n                 0                  0                  0                  1 \nCATTGCGAGCTAGAAG-1 CATTGTGCAGCAAGTG-1 CCAACCAAGTTACTTC-1 CCAACCCGTATGTGGC-1 \n                 0                  0                  0                  2 \nCCAATATCATTCCTCG-1 CCACTTGGTCATCCTG-1 CCAGACTCAAAGCGCA-1 CCAGGATGTTACAAAC-1 \n                 0                  1                  0                  1 \nCCATAGCCAATGAGGT-1 CCATATTTCGGTTAGT-1 CCATTATTCCTTGTTG-1 CCCAGCACAGGCAAGC-1 \n                 0                  0                  0                  0 \nCCCATAACATGAGTTT-1 CCCTTAATCACAGCGC-1 CCCTTAATCTCAATTC-1 CCGCTAAAGGCCGGAA-1 \n                 1                  0                  0                  0 \nCCGGTAGGTTACGCAA-1 CCGGTTAAGTTTGGGT-1 CCGTTGCGTGCAATAT-1 CCTAAAGGTTGCAGTA-1 \n                 0                  1                  0                  0 \nCCTAAGCCATAATCAC-1 CCTAATAAGAGGAAGG-1 CCTAATAAGTATGTGC-1 CCTAGTTGTCTTTATG-1 \n                 0                  0                  0                  0 \nCCTCCTCTCGTCCTTA-1 CCTGGATCAGGACCTT-1 CCTTACTCAGGCTACT-1 CCTTCGGTCCAAGTTA-1 \n                 0                  0                  0                  0 \nCCTTCGGTCTGTGCAG-1 CCTTGCGTCATTATGG-1 CGAAATGAGGTCGAGG-1 CGAACCGGTAACAGGG-1 \n                 0                  0                  0                  0 \nCGATGTCCAGGTTATT-1 CGATTGAGTAGACAAA-1 CGCAAATTCACAAGCT-1 CGCACACAGTATGTGC-1 \n                 1                  0                  1                  0 \nCGCATATAGATGGAGC-1 CGCATATAGCATTAGC-1 CGCATATAGCTTAGTA-1 CGCCAAATCCAATAGC-1 \n                 0                  0                  0                  0 \nCGCTAATAGATTGAGG-1 CGCTACTTCCAATAGC-1 CGCTTAACATTAAAGG-1 CGCTTGCGTATGTGGC-1 \n                 1                  0                  1                  0 \nCGGAATCGTACCGAAC-1 CGGATAAAGTCTATGA-1 CGGCCATAGCGGATTT-1 CGGCTAATCCTTCAAT-1 \n                 0                  2                  0                  0 \nCGGCTAATCTGTGCCT-1 CGGTTATAGGCTACTG-1 CGGTTCCGTTAAGCCA-1 CGTAGTTAGCAACAAG-1 \n                 0                  0                  0                  0 \nCGTAGTTAGTTGCGTG-1 CGTATTGCAGGCTGTT-1 CGTGCTGCATCCCGCT-1 CGTGTTACAAAGGTAC-1 \n                 0                  0                  0                  0 \nCGTTATCGTTAAATGC-1 CGTTATTTCCCTCAAC-1 CGTTGCAAGTCGCAAT-1 CTAAGGTTCCTTCAAT-1 \n                 0                  0                  0                  0 \nCTACCGGCACCCACAG-1 CTAGTCGAGCATTTCT-1 CTAGTTGCACTAAGTT-1 CTATGACAGATAGACG-1 \n                 0                  1                  1                  0 \nCTATGAGGTTGCATCT-1 CTATGAGGTTTCCACG-1 CTATGATCATTGCGTA-1 CTCACTCAGGTGAAAT-1 \n                 0                  0                  0                  0 \nCTCCTCACAATGCCTA-1 CTCGTTATCACGCCAA-1 CTCTCACAGCGCTAAT-1 CTGACCAAGGACCAGG-1 \n                 0                  0                  0                  0 \nCTGGCTTTCAATGACC-1 CTGGCTTTCGCTATAA-1 CTGGTCAAGTTACTTC-1 CTGGTTACAATAGTCT-1 \n                 1                  2                  0                  0 \nCTGTTGGAGGTCCAAT-1 CTTAAGATCCTTCAAT-1 CTTCACTCACAATACT-1 CTTCGCGTCAGCACCA-1 \n                 0                  0                  0                  1 \nCTTCTCAAGGACCTGC-1 CTTCTCAAGTTATCCT-1 CTTGACGAGCGATAGA-1 CTTGCTCAGTTTGGTA-1 \n                 0                  0                  0                  0 \nCTTTAGTTCAAGTGTC-1 CTTTAGTTCACTCAAA-1 CTTTATCAGCACAGAA-1 CTTTATCAGTTATCCT-1 \n                 0                  0                  0                  0 \nCTTTATCAGTTTGGTA-1 CTTTATGGTTGTCCAT-1 GAAACCCGTTAAGTGT-1 GAAACCCGTTACTAGG-1 \n                 0                  0                  0                  0 \nGAAGCCTGTTATTGCC-1 GAAGTCAAGCCAGGTC-1 GAATTTGTCCCGTTAC-1 GACAATACAGCCTGCA-1 \n                 1                  1                  0                  0 \nGACACTAGTTTGCGAA-1 GACATTATCCTTAGGG-1 GACGTAAAGTAAACCC-1 GACTAATGTTTAGTCC-1 \n                 1                  2                  0                  0 \nGAGAACCAGTCGCAAT-1 GAGATAAGTCTTTATG-1 GAGCTTAGTATGTGGC-1 GAGGCTACAATTAAGG-1 \n                 0                  0                  0                  0 \nGAGGTACAGGACCAGG-1 GAGGTAGGTTGCGTAA-1 GAGTAATAGGTCGATT-1 GAGTCATTCGGGCCAT-1 \n                 1                  0                  0                  0 \nGAGTTTGGTTGTGACA-1 GATAATCGTACTGAAT-1 GATGCATTCACAGACT-1 GATTACGGTACCGGAT-1 \n                 0                  0                  0                  0 \nGATTAGCTCTCGCCCA-1 GATTCAATCGGTCAAT-1 GATTCATCATTATCCC-1 GATTCGCCAATTTGGT-1 \n                 0                  0                  1                  0 \nGATTGCAGTACGGGTT-1 GATTTGCAGCGGTTAT-1 GATTTGCAGGTGAAAT-1 GCAAACTTCGGCCATA-1 \n                 0                  0                  0                  0 \nGCAGCAACATAGTCAT-1 GCAGGATAGATTCCTT-1 GCAGGCAAGATAAAGC-1 GCAGGCTTCATTTAGG-1 \n                 0                  0                  0                  0 \nGCATCCTTCCGTCCAT-1 GCATCCTTCCTGTTCA-1 GCATGAAAGGCGCACT-1 GCATTAGGTTTGTCTA-1 \n                 1                  1                  0                  0 \nGCCAACATCTGTTCAT-1 GCCCTCATCACGCATG-1 GCCCTCATCCGCCTCA-1 GCCCTCATCGTTACAA-1 \n                 0                  0                  0                  0 \nGCCTCAAAGCCAGGTC-1 GCCTCCATCCTTGCAC-1 GCCTCCATCTAACCTT-1 GCCTGAGGTTGTAACG-1 \n                 0                  0                  0                  0 \nGCCTTAGAGCCTGGTA-1 GCGAAGCCAATCGCAC-1 GCGAAGTAGAAAGGAA-1 GCGAGTGAGGACTAAG-1 \n                 0                  0                  0                  0 \nGCGCGATTCCAAGTTA-1 GCGCTTGCAGGAACAT-1 GCGTTTCTCCTAAGTA-1 GCTAACAGTAGCCTAA-1 \n                 1                  0                  0                  0 \nGCTAACAGTAGCTGGT-1 GCTAACAGTATTGGAT-1 GCTAAGCGTGCAACTA-1 GCTCATTGTTAAGCCA-1 \n                 1                  0                  0                  0 \nGCTCCTTAGGACCAGG-1 GCTGAGGAGGGTCTAT-1 GCTGGATGTCCTAATC-1 GCTGGTTCAACAGGTG-1 \n                 0                  0                  1                  0 \nGCTGTAAGTCATAAGT-1 GCTTCGCGTTAAGGTT-1 GGACAGCCAGCAATAA-1 GGACTAAAGTCGCAAT-1 \n                 0                  0                  0                  0 \nGGAGCAAGTATTTGCC-1 GGAGCGATCCCGTTAC-1 GGAGTGAGTCGTTATC-1 GGCAAATCAACTCGCG-1 \n                 0                  0                  0                  0 \nGGCAAATCATCCTAGA-1 GGCAAGCCAGGCAAGC-1 GGCAGGATCAGGAAGC-1 GGCATTGTCATGAGCT-1 \n                 0                  0                  0                  0 \nGGCCAGTTCATGCTTT-1 GGCCAGTTCCCTCAAC-1 GGCCAGTTCCCTCAGT-1 GGCCAGTTCGTCAAGT-1 \n                 1                  2                  1                  0 \nGGCCATCAGAGGGACT-1 GGCCTTCGTTGCAGTA-1 GGCTGTCAGCGCATTG-1 GGGATAATCAGCTAAC-1 \n                 0                  0                  0                  1 \nGGGATAATCCTTAGTT-1 GGGATAATCTAAGTCA-1 GGGATAATCTCGCCCA-1 GGGATTAAGTCGCAAT-1 \n                 2                  1                  0                  0 \nGGGTTTGTCGCAAACT-1 GGTACAAAGGCATGAA-1 GGTACTTAGTAACTCA-1 GGTCCGTAGGATTGAG-1 \n                 0                  0                  0                  0 \nGGTGTCCAGGGTTAGA-1 GGTTCTTGTAACGTGC-1 GGTTCTTGTCTTTATG-1 GGTTGACGTATGTGGC-1 \n                 0                  0                  1                  0 \nGGTTGACGTGTTGCAA-1 GTAAGCAAGGAACCAA-1 GTAAGCAAGGGCTAAA-1 GTACCTTGTGTCACGG-1 \n                 0                  0                  0                  0 \nGTACGTAGTTTCCGGC-1 GTACTTAAGGAACCAA-1 GTAGCCATCAGGCCTA-1 GTAGCCATCTAACCAA-1 \n                 1                  0                  1                  1 \nGTAGCCATCTGTGAGT-1 GTAGGTGCAAACCTAT-1 GTAGTTATCGCTAGTG-1 GTAGTTTCACGAATCC-1 \n                 0                  0                  2                  0 \nGTCCATTGTTAAGCGC-1 GTCCTAGAGTTCCTCA-1 GTCCTCAGTCACGGAT-1 GTCGAAGCATTCAGCA-1 \n                 0                  0                  0                  1 \nGTGAGGAGTAATGACT-1 GTGCGGTTCATAAGCC-1 GTGCTCCGTACTGATG-1 GTGTAACTCAAACACC-1 \n                 0                  0                  1                  0 \nGTGTGTTAGCTCATAA-1 GTTAAACGTGTTAGCA-1 GTTAACGGTACGGTAC-1 GTTAACGGTCAAGACC-1 \n                 0                  1                  0                  0 \nGTTAACGGTCTTTATG-1 GTTAAGTGTTAGCAGC-1 GTTAATGTCTTAATGG-1 GTTACTAAGCACTAAC-1 \n                 2                  0                  0                  0 \nGTTACTCGTTCCGCAC-1 GTTAGGCGTTAGTACG-1 GTTCACCTCCCTGACT-1 GTTCTTAGTTACATCC-1 \n                 0                  0                  0                  0 \nGTTCTTGTCGAAGTGA-1 GTTGCCCGTAGCCTAA-1 GTTGGCCAGGGATTAG-1 GTTTACCGTTCCGCAC-1 \n                 0                  0                  0                  0 \nGTTTGCTGTACGGGTT-1 GTTTGTAAGTAAGTGG-1 GTTTGTCGTCATGAGC-1 TAAGCTGGTTCGGTAA-1 \n                 0                  0                  0                  0 \nTAATCCGCAAAGGTAC-1 TACAAGCTCATTACAG-1 TACCAGGTCTTGTCCA-1 TACCGAAGTGCTTACT-1 \n                 0                  0                  0                  1 \nTACCGAAGTTCGGGAT-1 TACCGAAGTTGGTGAC-1 TAGACCAGTCAAGTAT-1 TAGACCAGTTGCAATG-1 \n                 0                  0                  1                  0 \nTAGAGCCGTCCTGATT-1 TAGAGCCGTGCTCCAC-1 TAGAGCCGTTACAAAC-1 TAGCAGGCATAGCTTG-1 \n                 0                  0                  1                  0 \nTAGCTTGCAGCTTAGC-1 TAGGAACCACTTCACT-1 TAGGAGTCACTTGTTC-1 TAGGAGTCATCTAGCA-1 \n                 0                  0                  0                  2 \nTAGGTGCGTAGCCTCC-1 TAGTAACGTCCAAATG-1 TAGTACGGTCGCAATA-1 TAGTGTGGTTAAGCTG-1 \n                 0                  0                  0                  0 \nTATAGCTCAAGCGATG-1 TATCACAAGTGAACCT-1 TATCGCACAAAGCCTC-1 TATCGCGAGCATGACT-1 \n                 0                  0                  0                  0 \nTATCGCGAGCTAGAAG-1 TATGGTCAGGCTGTCA-1 TATTAGCCACTTAGGC-1 TATTAGGTCCTGATGG-1 \n                 0                  1                  1                  0 \nTATTAGGTCGTGCTAG-1 TATTTGCTCAAGTGAG-1 TATTTGCTCTTGTCCA-1 TATTTGGAGGCGCATC-1 \n                 0                  0                  1                  0 \nTCAAACCAGTTATTCC-1 TCACTGACAACAGGTG-1 TCAGCAAGTAGCTAAT-1 TCAGCGATCATGCTTT-1 \n                 0                  0                  0                  0 \nTCAGCGATCCTCAGCT-1 TCAGTAGGTAACCAGC-1 TCAGTGAGTGAAGCCT-1 TCAGTGAGTGACATAT-1 \n                 0                  0                  0                  0 \nTCATGCCTCAGGTTTA-1 TCATTACTCTCATCAT-1 TCATTGTTCACTAGGT-1 TCATTGTTCATAACTG-1 \n                 0                  0                  0                  0 \nTCCATGCTCCAGGAAA-1 TCCATTGTCGGTTCCT-1 TCCATTGTCGTGCTTC-1 TCCCTCACATAGTCAT-1 \n                 0                  0                  0                  1 \nTCCTCAATCAGGGCCT-1 TCCTTAGTCACCAATA-1 TCCTTAGTCATTACTC-1 TCGACAAGTTGTTCAC-1 \n                 0                  1                  0                  0 \nTCGATTAAGGCTTAGT-1 TCGCCCATCTGTGCCT-1 TCGGTAAGTCAGGAAG-1 TCGGTTACAGCAAGTG-1 \n                 0                  0                  0                  0 \nTCGTTACGTGCTTACT-1 TCGTTACGTTAGCCAA-1 TCGTTACGTTGTCCAT-1 TCTAACCGTGCAATAT-1 \n                 0                  0                  0                  0 \nTCTAAGGGTAATAACC-1 TCTAATCTCGCCTAAG-1 TCTAGCACACCACAAC-1 TGAAACTGTAGCCATA-1 \n                 0                  1                  1                  0 \nTGAAGTGAGGGTCCAC-1 TGACCTTGTGCCGCAA-1 TGAGCAAAGTCGCAAT-1 TGAGCCGGTTAAGCTG-1 \n                 0                  0                  0                  0 \nTGAGGAGGTACTAAAC-1 TGATCACAGGCTAATC-1 TGATCCTGTTCCGCAC-1 TGATCGAGTTACTTGC-1 \n                 2                  0                  0                  0 \nTGATGATGTTTCCACG-1 TGCACACCAGCAAGAT-1 TGCACTTGTTCGCTCA-1 TGCCGGTAGATTCCTT-1 \n                 0                  0                  0                  0 \nTGCGCGAGTAGCCATA-1 TGCTATGCAACTGGGA-1 TGCTATGCACTTAGGC-1 TGCTATGCAGAAACGT-1 \n                 0                  0                  0                  0 \nTGCTATGCATTGTGTG-1 TGCTTAAAGTTATCTC-1 TGCTTTAGTGTTCCCA-1 TGGACAAAGGACTAAG-1 \n                 0                  0                  0                  0 \nTGGCCAATCGAAGCGG-1 TGGCTTTGTGATGATT-1 TGGTCCTTCTTGAGGT-1 TGGTCCTTCTTTAGGA-1 \n                 1                  0                  0                  0 \nTGTAACTCACTTAGGC-1 TGTCATAAGGGACTAA-1 TGTGATCAGAATGACG-1 TGTGATCAGTTTGAGC-1 \n                 0                  0                  0                  0 \nTGTGCAAGTGAAGCCT-1 TGTGCACCACTAGGTC-1 TGTGCACCACTTAGGC-1 TGTGCACCACTTCATC-1 \n                 0                  0                  0                  0 \nTGTGGCTCAGGATGGC-1 TGTTTGTTCCTAAGTA-1 TGTTTGTTCTTGCAGG-1 TTAACTGAGCTTTGGG-1 \n                 0                  1                  0                  0 \nTTAGAAGCACCCACAG-1 TTAGCCTGTTATAGCG-1 TTAGGATGTCGTAATG-1 TTAGGCGTCCAGGTTG-1 \n                 0                  0                  1                  0 \nTTAGTCAAGGTCGAGG-1 TTATGCGCAATTAACC-1 TTATGCGCAGCAAGAT-1 TTATGCGCATTGTGCA-1 \n                 0                  0                  0                  0 \nTTCATCCCAGGATTAA-1 TTCCACGGTCCAAATG-1 TTCCTCAAGCGTGCAC-1 TTCGTGCTCGCTTGCT-1 \n                 0                  0                  0                  0 \nTTCGTGCTCTTGGATA-1 TTCTTAGGTCTAACCT-1 TTCTTAGGTGGTTCCC-1 TTGCTTAGTGCTGGTG-1 \n                 0                  0                  0                  0 \nTTGCTTAGTTGTTGTC-1 TTGGCGGGTTTATGGG-1 TTGGCTTGTCATTACC-1 TTGGGCGGTCACAGAC-1 \n                 0                  0                  0                  0 \nTTGTCAAAGGGTGGAT-1 TTGTCCATCCCTGTTA-1 TTTCACCCAAACCCTA-1 TTTCCGGGTTCTTTAG-1 \n                 0                  1                  0                  0 \nTTTCGTCCATTAAAGG-1 TTTCTCACAGAACCGA-1 TTTGGTAAGACTAAGG-1 TTTGGTAAGTTGCCTC-1 \n                 0                  0                  1                  0 \nLevels: 0 1 2"},"metadata":{}}]},{"cell_type":"code","source":"reticulate::py_install(packages = 'umap-learn')","metadata":{"execution":{"iopub.status.busy":"2023-11-08T07:04:37.254517Z","iopub.execute_input":"2023-11-08T07:04:37.256354Z","iopub.status.idle":"2023-11-08T07:07:39.760486Z"},"trusted":true},"execution_count":61,"outputs":[{"name":"stderr","text":"+ '/root/.local/share/r-miniconda/bin/conda' 'install' '--yes' '--prefix' '/root/.local/share/r-miniconda/envs/r-reticulate' '-c' 'conda-forge' 'umap-learn'\n\n","output_type":"stream"}]},{"cell_type":"code","source":"# we can set `label = TRUE` or use the LabelClusters function to help label individual clusters\nDimPlot(seurat, reduction = \"umap-learn\")","metadata":{"execution":{"iopub.status.busy":"2023-11-08T07:08:49.055629Z","iopub.execute_input":"2023-11-08T07:08:49.059034Z","iopub.status.idle":"2023-11-08T07:08:49.092991Z"},"trusted":true},"execution_count":63,"outputs":[{"ename":"ERROR","evalue":"Error: Cannot find 'umap-learn' in this Seurat object\n","traceback":["Error: Cannot find 'umap-learn' in this Seurat object\nTraceback:\n","1. DimPlot(seurat, reduction = \"umap-learn\")","2. Embeddings(object = object[[reduction]])","3. object[[reduction]]","4. `[[.Seurat`(object, reduction)","5. stop(\"Cannot find '\", i, \"' in this Seurat object\", call. = FALSE)"],"output_type":"error"}]}]}