chore: resolving merge conflicts with latest develop branch

data/deprecatedIdentifiers/deprecatedReactions.tsv

@@ -300,3 +300,5 @@ rxns	rxnKEGGID	rxnBiGGID	rxnEHMNID	rxnHepatoNET1ID	rxnREACTOMEID	rxnRecon3DID	rx
 "MAR08745"	""	"THMMPtm"	""	""	""	""	"MNXR104822"	"HMR_8745"	"RCR20669"	""	0	""	""	"HMR_8745"
 "MAR08747"	""	"THMPPtm"	""	""	""	""	"MNXR104824"	"HMR_8747"	"RCR20670"	""	0	""	""	"HMR_8747"
 "MAR07799"	""	"ATPasel"	""	""	""	""	"MNXR96136"	"HMR_7799"	"RCR20334"	""	0	""	""	"HMR_7799"
+"MAR00776"	""	"FAOXC180"	""	""	""	"FAOXC180"	"MNXR99313"	""	""	""	0	""	""	"FAOXC180"
+"MAR00778"	""	"FAOXC1811601m"	""	""	""	"FAOXC1811601m"	"MNXR99315"	""	""	""	0	""	""	"FAOXC1811601m"

data/testResults/README.md

@@ -2,7 +2,7 @@
 
 The file here contains results from the [MACAW](https://github.com/Devlin-Moyer/macaw) `dead_end_test` and `duplicate_test` tests, and from cell-line specific gene essentiality prediction based on the [Hart _et al._ (2015)](https://doi.org/10.1016/j.cell.2015.11.015) dataset.
 
-The test results shown here were obtained by the GitHub Actions run in **PR #830** (MACAW) and **PR #675** (gene essentiality), and will be updated by any subsequent PR. Summary results are shown as a comment in the corresponding PR.
+The test results shown here were obtained by the GitHub Actions run in **PR #935** (MACAW) and **PR #935** (gene essentiality), and will be updated by any subsequent PR. Summary results are shown as a comment in the corresponding PR.
 
 ### MACAW: `dead_end_test`
 Looks for metabolites in Human-GEM that can only be produced by all reactions they participate in or only consumed, then identifies all reactions that are prevented from sustaining steady-state fluxes because of each of these dead-end metabolites. The simplest case of a dead-end metabolite is one that only participates in a single reaction. Also flags all reversible reactions that can only carry fluxes in a single direction because one of their metabolites can either only be consumed or only be produced by all other reactions it participates in.
@@ -20,4 +20,4 @@ It is possible for a single reaction to fit in multiple of the above categories.
 ### Cell-line specific gene essentiality
 Evaluate gene essentiality predictions in 5 cell-line specific GEMs with experimental fitness data gathered from the [Hart _et al._ (2015)](https://doi.org/10.1016/j.cell.2015.11.015).
 
-Cell-line specific GEMs are constructed with tINIT2 for DLD1, GBM, HCT116, HeLa and RPE1 cell lines. Then, the `metabolicTasks_Essential.txt` list of tasks is used to identify essential genes in each of these models. The predicted gene essentiality is compared to results from a high-throughput CRISPR-Cas9 screen for identifying genes that affect fitness. Only the summary statistics of this comparison are kept. 
+Cell-line specific GEMs are constructed with tINIT2 for DLD1, GBM, HCT116, HeLa and RPE1 cell lines. Then, the `metabolicTasks_Essential.txt` list of tasks is used to identify essential genes in each of these models. The predicted gene essentiality is compared to results from a high-throughput CRISPR-Cas9 screen for identifying genes that affect fitness. Only the summary statistics of this comparison are kept. 

data/testResults/gene-essential.csv

@@ -1,7 +1,7 @@
 cellLine,TP,TN,FP,FN,accuracy,sensitivity,specificity,F1,MCC
-DLD1,36,2185,59,279,0.8679,0.1143,0.9737,0.1756,0.1529
-GBM,34,2165,61,298,0.8597,0.1024,0.9726,0.1593,0.1333
-HCT116,46,2207,53,309,0.8616,0.1296,0.9765,0.2026,0.1905
-HELA,30,2263,69,254,0.8765,0.1056,0.9704,0.1567,0.124
-RPE1,14,2204,81,259,0.8671,0.05128,0.9646,0.07609,0.02585
-all,7,2408,92,109,0.9232,0.06034,0.9632,0.06512,0.0254
+DLD1,36,2183,59,279,0.8678,0.1143,0.9737,0.1756,0.1529
+GBM,34,2163,61,298,0.8595,0.1024,0.9726,0.1593,0.1333
+HCT116,46,2205,53,309,0.8615,0.1296,0.9765,0.2026,0.1904
+HELA,30,2262,69,253,0.8768,0.106,0.9704,0.1571,0.1244
+RPE1,14,2202,81,259,0.867,0.05128,0.9645,0.07609,0.0258
+all,7,2406,92,109,0.9231,0.06034,0.9632,0.06512,0.02537

data/testResults/macaw_results.csv

@@ -8250,9 +8250,7 @@ MAR00759,4 MAM01597x + 4 MAM01802x + 4 MAM02040x + 4 MAM02552x + MAM02678x --> 4
 MAR00764,MAM00051m + 4 MAM01597m + 3 MAM01802m + 4 MAM02040m + 4 MAM02552m --> 4 MAM01261m + 3 MAM01803m + 4 MAM02039m + 4 MAM02553m + MAM02644m,ok,ok,ok,ok,N/A
 MAR00772,4 MAM01597m + 3 MAM01802m + 4 MAM02040m + 4 MAM02552m + MAM02677m --> 4 MAM01261m + 3 MAM01803m + 4 MAM02039m + 4 MAM02553m + MAM02644m,ok,ok,ok,ok,N/A
 MAR00774,7 MAM01597m + 7 MAM01802m + 7 MAM02040m + MAM02101m + 7 MAM02552m --> 7 MAM01261m + 7 MAM01803m + 7 MAM02039m + 7 MAM02553m + MAM02774m,ok,ok,ok,ok,N/A
-MAR00776,MAM01597m + MAM01802m + MAM02040m + MAM02552m + MAM02941m --> MAM01261m + MAM01803m + MAM02039m + MAM02553m + MAM02678m,ok,ok,ok,ok,N/A
 MAR00777,MAM01597x + MAM01802x + MAM02040x + MAM02552x + MAM02941x --> MAM01261x + MAM01803x + MAM02039x + MAM02553x + MAM02678x,ok,ok,ok,ok,N/A
-MAR00778,MAM00057m + 5 MAM01597m + 4 MAM01802m + 5 MAM02040m + 5 MAM02552m --> 5 MAM01261m + 4 MAM01803m + 5 MAM02039m + 5 MAM02553m + MAM02644m,ok,ok,ok,ok,N/A
 MAR00780,5 MAM01597m + 4 MAM01802m + 5 MAM02040m + 5 MAM02552m + MAM03791m --> 5 MAM01261m + 4 MAM01803m + 5 MAM02039m + 5 MAM02553m + MAM02644m,ok,ok,ok,ok,N/A
 MAR00784,5 MAM01597m + 4 MAM01802m + 5 MAM02040m + 5 MAM02552m + MAM02647m --> 5 MAM01261m + 4 MAM01803m + 5 MAM02039m + 5 MAM02553m + MAM02644m,ok,ok,ok,ok,N/A
 MAR00785,5 MAM01597m + 3 MAM01802m + 5 MAM02040m + MAM02391m + 5 MAM02552m --> 5 MAM01261m + 3 MAM01803m + 5 MAM02039m + 5 MAM02553m + MAM02644m,ok,ok,ok,ok,N/A