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distiller.nf
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#!/usr/bin/env nextflow
/*
vim: syntax=groovy
-*- mode: groovy;-*-
*/
/*
* Miscellaneous code for the pipeline
*/
MIN_RES = params['bin'].resolutions.collect { it as int }.min()
ASSEMBLY_NAME = params['input'].genome.assembly_name
pairsgz_decompress_command = 'bgzip -cd -@ 3'
switch(params.compression_format) {
case 'gz':
suffix = 'gz'
decompress_command = 'bgzip -cd -@ 3'
break
case 'lz4':
suffix = 'lz4'
decompress_command = 'lz4c -cd'
break
default:
suffix = 'gz'
decompress_command = 'bgzip -cd -@ 3'
break
}
boolean isSingleFile(object) {
object instanceof Path
}
String getOutputDir(output_type) {
new File(params.output.dirs.get(output_type, output_type)).getCanonicalPath()
}
Boolean needsDownloading(query) {
return (
(query instanceof String) && (
query.startsWith('sra:')
|| query.startsWith('http://')
|| query.startsWith('https://')
|| query.startsWith('ftp://')
)
)
}
String checkLeftRightChunk(left_chunk_fname,right_chunk_fname) {
// checks if the chunk index is the same
// both for left and right chunks and returns
// that chunk index:
// left by design: ${library}.${run}.*.1.fastq.gz
// right by design: ${library}.${run}.*.2.fastq.gz
left_chunk_idx = left_chunk_fname.toString().tokenize('.')[-4]
right_chunk_idx = right_chunk_fname.toString().tokenize('.')[-4]
leftness_of_chunk = left_chunk_fname.toString().tokenize('.')[-3]
rightness_of_chunk = right_chunk_fname.toString().tokenize('.')[-3]
// assertions (should never happen by design, by just in case):
// sidedness should be different:
assert leftness_of_chunk != rightness_of_chunk: ("Sidedness suffix of"
+"LEFT and RIGHT sides of"
+"fastq chunks should DIFFER!")
assert left_chunk_idx == right_chunk_idx: ("Chunk index of"
+"LEFT and RIGHT sides of"
+"fastq chunks should be IDENTICAL!")
// return Chunk index of fastq chunk:
return left_chunk_idx
}
// CHROM_SIZES:
// we need 2 copies of this Channel
// for Parsing and Binning:
Channel.from([
file(params.input.genome.chrom_sizes_path)
]).into{CHROM_SIZES_FOR_PARSING;
CHROM_SIZES_FOR_BINNING}
// LIBRARY_GROUPS:
// we need 2 copies of this Channel
// for Parsing and Binning:
Channel.from(
params.input.library_groups.collect{ k, v -> [k, v] }
).into{LIBRARY_GROUPS_FOR_COOLER_MERGE;
LIBRARY_GROUPS_FOR_STATS_MERGE}
// the Channel the location of Raw Data (fastqs):
LIB_RUN_SOURCES = Channel.from(
params.input.raw_reads_paths.collect{
k, v -> v.collect{k2, v2 -> (v2.size() == 1)
? [k,k2]+v2+[null]
: [k,k2]+v2
}
}.sum()
)
LIB_RUN_SOURCES_DOWNLOAD_TRUNCATE_CHUNK = Channel.create()
LIB_RUN_SOURCES_LOCAL_TRUNCATE_CHUNK = Channel.create()
LIB_RUN_SOURCES_LOCAL_NO_PROCESSING = Channel.create()
LIB_RUN_SOURCES.choice(
LIB_RUN_SOURCES_DOWNLOAD_TRUNCATE_CHUNK,
LIB_RUN_SOURCES_LOCAL_TRUNCATE_CHUNK,
LIB_RUN_SOURCES_LOCAL_NO_PROCESSING) {
a -> ( ( needsDownloading(a[2]) || needsDownloading(a[3]) )
? 0
: ( ( (params['map'].get('chunksize', 0) > 0)
|| (params['input'].get('truncate_fastq_reads', 0) > 0)
) ? 1 : 2
)
)
}
LIB_RUN_SOURCES_LOCAL_NO_PROCESSING
.map{ v -> [v[0], v[1], file(v[2]), file(v[3])]}
.set{ LIB_RUN_SOURCES_LOCAL_NO_PROCESSING }
LIB_RUN_SOURCES_LOCAL_TRUNCATE_CHUNK
.map{ v -> [v[0], v[1], file(v[2]), file(v[3])] }
.set{ LIB_RUN_SOURCES_LOCAL_TRUNCATE_CHUNK }
/*
* Download and chunk fastqs.
*/
def fastqDumpCmd(file_or_srr, library, run, srr_start=0, srr_end=-1, threads=1) {
def srr_start_flag = (srr_start == 0) ? '' : (' --minSpotId ' + srr_start)
def srr_end_flag = (srr_end == -1) ? '' : (' --maxSpotId ' + srr_end)
def bgzip_threads = Math.max(1,((threads as int)-2).intdiv(2))
def cmd = """
HOME=`readlink -e ./`
fastq-dump ${file_or_srr} -Z --split-spot ${srr_start_flag} ${srr_end_flag} \
| pyfilesplit --lines 4 \
>(bgzip -c -@{bgzip_threads} > ${library}.${run}.1.fastq.gz) \
>(bgzip -c -@{bgzip_threads} > ${library}.${run}.2.fastq.gz) \
| cat """
return cmd
}
def sraDownloadTruncateCmd(sra_query, library, run, truncate_fastq_reads=0,
chunksize=0, threads=1) {
def cmd = ""
def srr = ( sra_query =~ /SRR\d+/ )[0]
def srrnum = srr.substring(3)
def srr_start = 0
def srr_end = -1
if ( sra_query.contains('start=') ) {
srr_start = ( sra_query =~ /start=(\d+)/ )[0][1]
}
if ( truncate_fastq_reads ) {
srr_end = srr_start + truncate_fastq_reads
} else if ( sra_query.contains('end=') ) {
srr_end = (sra_query =~ /end=(\d+)/)[0][1]
}
wget_url = "ftp://ftp-trace.ncbi.nlm.nih.gov/sra/sra-instant/reads/ByRun/sra/SRR/SRR${srrnum.take(3)}/${srr}/${srr}.sra"
if ((srr_start > 0) || (srr_end != -1)) {
cmd = """
${fastqDumpCmd(srr, library, run, srr_start, srr_end, threads)}
if [ -d ./ncbi ]; then rm -Rf ./ncbi; fi
"""
}
else {
cmd = """
if wget --spider ${wget_url} 2>/dev/null; then
wget ${wget_url} -qO ${srr}.sra
${fastqDumpCmd(srr+'.sra', library, run, 0, -1, threads)}
rm ${srr}.sra
else
echo 'Cannot wget an sra, fall back to fastq-dump'
${fastqDumpCmd(srr, library, run, 0, -1, threads)}
if [ -d ./ncbi ]; then rm -Rf ./ncbi; fi
fi
"""
}
def chunk_lines = 4 * chunksize
def split_bgzip_threads = Math.max(1, (threads as int)-1)
if ( (truncate_fastq_reads == 0) && (chunk_lines > 0) ) {
for (side in 1..2) {
cmd += """
zcat ${library}.${run}.${side}.fastq.gz | \
split -l ${chunk_lines} --numeric-suffixes=1 \
--filter 'bgzip -c -@ ${split_bgzip_threads} > \$FILE.${side}.fastq.gz' - \
${library}.${run}.
rm ${library}.${run}.${side}.fastq.gz
"""
}
} else {
for (side in 1..2) {
cmd += """
mv ${library}.${run}.${side}.fastq.gz ${library}.${run}.0.${side}.fastq.gz
"""
}
}
return cmd
}
String fastqDownloadTruncateCmd(query, library, run, side,
truncate_fastq_reads=0, chunksize=0, threads=2) {
def cmd = ''
def truncate_lines = 4 * truncate_fastq_reads
def chunk_lines = 4 * chunksize
def bgzip_threads = Math.max(1, (threads as int)-1)
if (truncate_lines > 0) {
cmd = """head -n ${truncate_lines} < <(wget ${query} -O - | gunzip -cd )\
| bgzip -c -@ ${bgzip_threads} \
> ${library}.${run}.0.${side}.fastq.gz
"""
} else if (chunk_lines > 0) {
cmd = """wget ${query} -O - \
| gunzip -cd \
| split -l ${chunk_lines} --numeric-suffixes=1 \
--filter 'bgzip -c -@ ${bgzip_threads} > \$FILE.${side}.fastq.gz' - \
${library}.${run}.
"""
} else {
cmd = "wget ${query} -O ${library}.${run}.0.${side}.fastq.gz"
}
return cmd
}
String fastqLocalTruncateChunkCmd(path, library, run, side,
truncate_fastq_reads=0, chunksize=0, threads=1) {
def cmd = ""
def truncate_lines = 4 * truncate_fastq_reads
def chunk_lines = 4 * chunksize
def bgzip_threads = Math.max(1, (threads as int)-1)
if (truncate_lines > 0) {
cmd = """head -n ${truncate_lines} < <( zcat ${path} ) \
| bgzip -c -@ ${bgzip_threads} \
> ${library}.${run}.0.${side}.fastq.gz
"""
} else if (chunk_lines > 0) {
cmd = """
zcat ${path} | \
split -l ${chunk_lines} --numeric-suffixes=1 \
--filter 'bgzip -c -@ ${bgzip_threads} > \$FILE.${side}.fastq.gz' - \
${library}.${run}.
"""
} else {
// this line should never be reached, b/c local files should only
// be processed if truncation or chunking is requested.
cmd = "mv ${path} ${library}.${run}.0.${side}.fastq.gz"
}
return cmd
}
process download_truncate_chunk_fastqs{
tag "library:${library} run:${run}"
storeDir getOutputDir('processed_fastqs')
input:
set val(library), val(run),
val(query1), val(query2) from LIB_RUN_SOURCES_DOWNLOAD_TRUNCATE_CHUNK
output:
set library, run,
"${library}.${run}.*.1.fastq.gz",
"${library}.${run}.*.2.fastq.gz" into LIB_RUN_CHUNK_DOWNLOADED_PROCESSED
script:
def truncate_fastq_reads = params['input'].get('truncate_fastq_reads',0)
def chunksize = params['map'].get('chunksize', 0)
def download_truncate_chunk_cmd1 = ""
def download_truncate_chunk_cmd2 = ""
if (query1.startsWith('sra:')) {
if ( !(( query2 == null) || (! query2.toBoolean())) ) {
error "Runs defined with SRA should only contain one line"
}
download_truncate_chunk_cmd1 += sraDownloadTruncateCmd(
query1, library, run, truncate_fastq_reads, chunksize, task.cpus)
} else {
download_truncate_chunk_cmd1 += fastqDownloadTruncateCmd(
query1, library, run, 1, truncate_fastq_reads, chunksize, task.cpus)
download_truncate_chunk_cmd2 += fastqDownloadTruncateCmd(
query2, library, run, 2, truncate_fastq_reads, chunksize, task.cpus)
}
"""
${download_truncate_chunk_cmd1}
${download_truncate_chunk_cmd2}
"""
}
process local_truncate_chunk_fastqs{
tag "library:${library} run:${run}"
storeDir getOutputDir('processed_fastqs')
input:
set val(library), val(run),
file(fastq1), file(fastq2) from LIB_RUN_SOURCES_LOCAL_TRUNCATE_CHUNK
output:
set library, run,
"${library}.${run}.*.1.fastq.gz",
"${library}.${run}.*.2.fastq.gz" into LIB_RUN_CHUNK_LOCAL_PROCESSED
script:
def truncate_fastq_reads = params['input'].get('truncate_fastq_reads',0)
def chunksize = params['map'].get('chunksize', 0)
def truncate_chunk_cmd1 = fastqLocalTruncateChunkCmd(
fastq1, library, run, 1, truncate_fastq_reads, chunksize, task.cpus)
def truncate_chunk_cmd2 = fastqLocalTruncateChunkCmd(
fastq2, library, run, 2, truncate_fastq_reads, chunksize, task.cpus)
"""
${truncate_chunk_cmd1}
${truncate_chunk_cmd2}
"""
}
// use new transpose operator
// to undo 'groupBy' of 'chunk_fastqs' process:
// https://github.com/nextflow-io/nextflow/issues/440
LIB_RUN_CHUNK_DOWNLOADED_PROCESSED
.transpose()
.map{[it[0],
it[1],
// index of the chunk (checked for safety):
checkLeftRightChunk(it[2],it[3]),
it[2],
it[3]]}
.set{ LIB_RUN_CHUNK_FASTQS }
LIB_RUN_CHUNK_LOCAL_PROCESSED
.transpose()
.map{[it[0],
it[1],
// index of the chunk (checked for safety):
checkLeftRightChunk(it[2],it[3]),
it[2],
it[3]]}
.mix(LIB_RUN_CHUNK_FASTQS)
.set{ LIB_RUN_CHUNK_FASTQS }
LIB_RUN_SOURCES_LOCAL_NO_PROCESSING
.map{[it[0],
it[1],
// index of the non-chunked is 0:
0,
it[2],
it[3]]}
.mix(LIB_RUN_CHUNK_FASTQS)
.set{LIB_RUN_CHUNK_FASTQS}
/*
* FastQC the input files.
*/
LIB_RUN_CHUNK_FASTQS_FOR_QC = Channel.create()
LIB_RUN_CHUNK_FASTQS
.tap(LIB_RUN_CHUNK_FASTQS_FOR_QC)
.set{LIB_RUN_CHUNK_FASTQS}
LIB_RUN_CHUNK_FASTQS_FOR_QC
.filter { it -> params.get('do_fastqc', 'false').toBoolean() }
.map{ v -> [v[0], v[1], v[2], [[1,file(v[3])], [2,file(v[4])]]]}
.flatMap{
vs -> vs[3].collect{
it -> [vs[0],
vs[1],
vs[2],
it[0],
it[1]] } }
.set {LIB_RUN_CHUNK_SIDE_FASTQS_FOR_QC}
process fastqc{
tag "library:${library} run:${run} chunk:${chunk} side:${side}"
storeDir getOutputDir('fastqc')
input:
set val(library), val(run), val(chunk), val(side),
file(fastq) from LIB_RUN_CHUNK_SIDE_FASTQS_FOR_QC
output:
set library, run, chunk, side,
"${library}.${run}.${chunk}.${side}_fastqc.html",
"${library}.${run}.${chunk}.${side}_fastqc.zip" into LIB_RUN_CHUNK_SIDE_QCS
"""
TASK_TMP_DIR=\$(mktemp -d -p ${task.distillerTmpDir} distiller.tmp.XXXXXXXXXX)
ln -s \"\$(readlink -f ${fastq})\" \$TASK_TMP_DIR/${library}.${run}.${chunk}.${side}.fastq.gz
fastqc --threads ${task.cpus} -o ./ -f fastq \$TASK_TMP_DIR/${library}.${run}.${chunk}.${side}.fastq.gz
rm -r \$TASK_TMP_DIR
"""
}
BWA_INDEX = Channel.from([[
params.input.genome.bwa_index_wildcard_path
.split('/')[-1]
.replaceAll('\\*$', "")
.replaceAll('\\.$', ""),
file(params.input.genome.bwa_index_wildcard_path),
]])
/*
* Map fastq files
*/
process map_parse_sort_chunks {
tag "library:${library} run:${run} chunk:${chunk}"
storeDir getOutputDir('mapped_parsed_sorted_chunks')
input:
set val(library), val(run), val(chunk), file(fastq1), file(fastq2) from LIB_RUN_CHUNK_FASTQS
set val(bwa_index_base), file(bwa_index_files) from BWA_INDEX.first()
file(chrom_sizes) from CHROM_SIZES_FOR_PARSING.first()
output:
set library, run, chunk,
"${library}.${run}.${ASSEMBLY_NAME}.${chunk}.pairsam.${suffix}",
"${library}.${run}.${ASSEMBLY_NAME}.${chunk}.bam" into LIB_RUN_CHUNK_PAIRSAMS
script:
// additional mapping options or empty-line
def mapping_options = params['map'].get('mapping_options','')
def dropsam_flag = params['parse'].get('make_pairsam','false').toBoolean() ? '' : '--drop-sam'
def dropreadid_flag = params['parse'].get('drop_readid','false').toBoolean() ? '--drop-readid' : ''
def dropseq_flag = params['parse'].get('drop_seq','false').toBoolean() ? '--drop-seq' : ''
def keep_unparsed_bams_command = (
params['parse'].get('keep_unparsed_bams','false').toBoolean() ?
"| tee >(samtools view -bS > ${library}.${run}.${ASSEMBLY_NAME}.${chunk}.bam)" : "" )
def parsing_options = params['parse'].get('parsing_options','')
//def bwa_threads = Math.max(1,
// ((((task.cpus as int)*0.6).round()) as int))
//def sorting_threads = Math.max(1, (task.cpus as int)-bwa_threads)
// Since bwa and sort operate on the same pipe, they do not use their
// cores simultaneously and it is safe to give both of them all cores.
def bwa_threads = (task.cpus as int)
def sorting_threads = (task.cpus as int)
"""
TASK_TMP_DIR=\$(mktemp -d -p ${task.distillerTmpDir} distiller.tmp.XXXXXXXXXX)
touch ${library}.${run}.${ASSEMBLY_NAME}.${chunk}.bam
bwa mem -t ${bwa_threads} ${mapping_options} -SP ${bwa_index_base} ${fastq1} ${fastq2} \
${keep_unparsed_bams_command} \
| pairtools parse ${dropsam_flag} ${dropreadid_flag} ${dropseq_flag} \
${parsing_options} \
-c ${chrom_sizes} \
| pairtools sort --nproc ${sorting_threads} \
-o ${library}.${run}.${ASSEMBLY_NAME}.${chunk}.pairsam.${suffix} \
--tmpdir \$TASK_TMP_DIR \
| cat
rm -rf \$TASK_TMP_DIR
"""
}
/*
* Merge .pairsams into libraries
*/
LIB_RUN_CHUNK_PAIRSAMS
.map {library, run, chunk, pairsam, bam -> tuple(library, pairsam)}
.groupTuple()
.set {LIB_PAIRSAMS_TO_MERGE}
process merge_dedup_splitbam {
tag "library:${library}"
storeDir getOutputDir('pairs_library')
input:
set val(library), file(run_pairsam) from LIB_PAIRSAMS_TO_MERGE
output:
set library, "${library}.${ASSEMBLY_NAME}.nodups.pairs.gz",
"${library}.${ASSEMBLY_NAME}.nodups.pairs.gz.px2",
"${library}.${ASSEMBLY_NAME}.nodups.bam",
"${library}.${ASSEMBLY_NAME}.dups.pairs.gz",
"${library}.${ASSEMBLY_NAME}.dups.bam",
"${library}.${ASSEMBLY_NAME}.unmapped.pairs.gz",
"${library}.${ASSEMBLY_NAME}.unmapped.bam" into LIB_PAIRS_BAMS
set library, "${library}.${ASSEMBLY_NAME}.dedup.stats" into LIB_DEDUP_STATS
script:
def make_pairsam = params['parse'].get('make_pairsam','false').toBoolean()
def merge_command = (
isSingleFile(run_pairsam) ?
"${decompress_command} ${run_pairsam}" :
"pairtools merge ${run_pairsam} --nproc ${task.cpus} --tmpdir \$TASK_TMP_DIR"
)
if(make_pairsam)
"""
TASK_TMP_DIR=\$(mktemp -d -p ${task.distillerTmpDir} distiller.tmp.XXXXXXXXXX)
${merge_command} | pairtools dedup \
--max-mismatch ${params.dedup.max_mismatch_bp} \
--mark-dups \
--output \
>( pairtools split \
--output-pairs ${library}.${ASSEMBLY_NAME}.nodups.pairs.gz \
--output-sam ${library}.${ASSEMBLY_NAME}.nodups.bam \
) \
--output-unmapped \
>( pairtools split \
--output-pairs ${library}.${ASSEMBLY_NAME}.unmapped.pairs.gz \
--output-sam ${library}.${ASSEMBLY_NAME}.unmapped.bam \
) \
--output-dups \
>( pairtools split \
--output-pairs ${library}.${ASSEMBLY_NAME}.dups.pairs.gz \
--output-sam ${library}.${ASSEMBLY_NAME}.dups.bam \
) \
--output-stats ${library}.${ASSEMBLY_NAME}.dedup.stats \
| cat
rm -rf \$TASK_TMP_DIR
pairix ${library}.${ASSEMBLY_NAME}.nodups.pairs.gz
"""
else
"""
TASK_TMP_DIR=\$(mktemp -d -p ${task.distillerTmpDir} distiller.tmp.XXXXXXXXXX)
${merge_command} | pairtools dedup \
--max-mismatch ${params.dedup.max_mismatch_bp} \
--mark-dups \
--output ${library}.${ASSEMBLY_NAME}.nodups.pairs.gz \
--output-unmapped ${library}.${ASSEMBLY_NAME}.unmapped.pairs.gz \
--output-dups ${library}.${ASSEMBLY_NAME}.dups.pairs.gz \
--output-stats ${library}.${ASSEMBLY_NAME}.dedup.stats \
| cat
touch ${library}.${ASSEMBLY_NAME}.unmapped.bam
touch ${library}.${ASSEMBLY_NAME}.nodups.bam
touch ${library}.${ASSEMBLY_NAME}.dups.bam
rm -rf \$TASK_TMP_DIR
pairix ${library}.${ASSEMBLY_NAME}.nodups.pairs.gz
"""
}
LIB_PAIRS_BAMS
.map {v -> tuple(v[0], v[1])}
.set {LIB_PAIRS}
FILTERS = Channel.from(
params.bin.filters.collect{ name, expr -> [name, expr] } )
FILTERS
.combine(LIB_PAIRS)
.set {LIB_FILTER_PAIRS}
/*
* Bin indexed .pairs into .cool matrices.
*/
process bin_zoom_library_pairs{
tag "library:${library} filter:${filter_name}"
storeDir getOutputDir('coolers_library')
input:
set val(filter_name), val(filter_expr), val(library), file(pairs_lib) from LIB_FILTER_PAIRS
file(chrom_sizes) from CHROM_SIZES_FOR_BINNING.first()
output:
set library, filter_name, "${library}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.cool",
"${library}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.mcool" into LIB_FILTER_COOLERS_ZOOMED
script:
def res_str = params['bin'].resolutions.join(',')
// get any additional balancing options, if provided
def balance_options = params['bin'].get('balance_options','')
balance_options = ( balance_options ? "--balance-args \"${balance_options}\"": "")
// balancing flag if it's requested
def balance_flag = ( params['bin'].get('balance','true').toBoolean() ? "--balance ${balance_options}" : " " )
def filter_command = (filter_expr == '' ? '' : "| pairtools select '${filter_expr}'")
"""
${pairsgz_decompress_command} ${pairs_lib} ${filter_command} | cooler cload pairs \
-c1 2 -p1 3 -c2 4 -p2 5 \
--assembly ${ASSEMBLY_NAME} \
${chrom_sizes}:${MIN_RES} - ${library}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.cool
cooler zoomify \
--nproc ${task.cpus} \
--out ${library}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.mcool \
--resolutions ${res_str} \
${balance_flag} \
${library}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.cool
"""
}
/*
* Merge .cool matrices for library groups.
*/
LIBRARY_GROUPS_FOR_COOLER_MERGE
.combine(LIB_FILTER_COOLERS_ZOOMED)
.filter{ it[1].contains(it[2]) }
.map {library_group, libraries, library, filter_name, single_res_clr, multires_clr -> tuple(library_group, filter_name, single_res_clr)}
.groupTuple(by: [0, 1])
.set { LIBGROUP_FILTER_COOLERS_TO_MERGE }
process merge_zoom_library_group_coolers{
tag "library_group:${library_group} filter:${filter_name}"
publishDir path: getOutputDir('coolers_library_group'), mode: "copy"
input:
set val(library_group), val(filter_name), file(coolers) from LIBGROUP_FILTER_COOLERS_TO_MERGE
output:
set library_group, filter_name,
"${library_group}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.cool",
"${library_group}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.mcool" into LIBGROUP_FILTER_RES_COOLERS
script:
def res_str = params['bin'].resolutions.join(',')
def balance_options = params['bin'].get('balance_options','')
balance_options = ( balance_options ? "--balance-args \"${balance_options}\"": "")
// balancing flag if it's requested
def balance_flag = ( params['bin'].get('balance','false').toBoolean() ? "--balance ${balance_options}" : "--no-balance" )
def merge_command = ""
if( isSingleFile(coolers))
merge_command = """
ln -s \$(readlink -f ${coolers}) ${library_group}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.cool
"""
else
merge_command = """
cooler merge ${library_group}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.cool ${coolers}
"""
zoom_command = """
cooler zoomify \
--nproc ${task.cpus} \
--out ${library_group}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.mcool \
--resolutions ${res_str} \
${balance_flag} \
${library_group}.${ASSEMBLY_NAME}.${filter_name}.${MIN_RES}.cool
"""
"""
${merge_command}
${zoom_command}
"""
}
/*
* Merge .stats for library groups
*/
LIBRARY_GROUPS_FOR_STATS_MERGE
.combine(LIB_DEDUP_STATS)
.filter{ it[1].contains(it[2]) }
.map {library_group, libraries, library, stats -> tuple(library_group, stats)}
.groupTuple()
.set { LIBGROUP_STATS_TO_MERGE }
process merge_stats_libraries_into_groups {
tag "library_group:${library_group}"
publishDir path: getOutputDir('stats_library_group'), mode: "copy"
input:
set val(library_group), file(stats) from LIBGROUP_STATS_TO_MERGE
output:
set library_group, "${library_group}.${ASSEMBLY_NAME}.stats" into LIBGROUP_STATS
script:
if( isSingleFile(stats))
"""
ln -s ${stats} ${library_group}.${ASSEMBLY_NAME}.stats
"""
else
"""
pairtools stats --merge ${stats} -o ${library_group}.${ASSEMBLY_NAME}.stats
"""
}