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demultiplex.nf
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demultiplex.nf
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/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
IMPORT MODULES / SUBWORKFLOWS / FUNCTIONS
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
//
// SUBWORKFLOW: Consisting of a mix of local and nf-core/modules
//
include { BCL_DEMULTIPLEX } from '../subworkflows/nf-core/bcl_demultiplex/main'
include { FASTQ_CONTAM_SEQTK_KRAKEN } from '../subworkflows/nf-core/fastq_contam_seqtk_kraken/main'
include { BASES_DEMULTIPLEX } from '../subworkflows/local/bases_demultiplex/main'
include { FQTK_DEMULTIPLEX } from '../subworkflows/local/fqtk_demultiplex/main'
include { MKFASTQ_DEMULTIPLEX } from '../subworkflows/local/mkfastq_demultiplex/main'
include { SINGULAR_DEMULTIPLEX } from '../subworkflows/local/singular_demultiplex/main'
include { RUNDIR_CHECKQC } from '../subworkflows/local/rundir_checkqc/main'
include { FASTQ_TO_SAMPLESHEET } from '../modules/local/fastq_to_samplesheet/main'
//
// MODULE: Installed directly from nf-core/modules
//
include { FASTP } from '../modules/nf-core/fastp/main'
include { FALCO } from '../modules/nf-core/falco/main'
include { MULTIQC } from '../modules/nf-core/multiqc/main'
include { UNTAR as UNTAR_FLOWCELL } from '../modules/nf-core/untar/main'
include { UNTAR as UNTAR_KRAKEN_DB } from '../modules/nf-core/untar/main'
include { MD5SUM } from '../modules/nf-core/md5sum/main'
//
// MODULE: Local modules
//
include { SAMSHEE } from '../modules/local/samshee/main'
//
// FUNCTION
//
include { paramsSummaryMap } from 'plugin/nf-validation'
include { paramsSummaryMultiqc } from '../subworkflows/nf-core/utils_nfcore_pipeline'
include { softwareVersionsToYAML } from '../subworkflows/nf-core/utils_nfcore_pipeline'
include { methodsDescriptionText } from '../subworkflows/local/utils_nfcore_demultiplex_pipeline'
/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RUN MAIN WORKFLOW
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
workflow DEMULTIPLEX {
take:
ch_samplesheet // channel: samplesheet read in from --input
main:
// Value inputs
demultiplexer = params.demultiplexer // string: bases2fastq, bcl2fastq, bclconvert, fqtk, sgdemux, mkfastq
trim_fastq = params.trim_fastq // boolean: true, false
skip_tools = params.skip_tools ? params.skip_tools.split(',') : [] // list: [falco, fastp, multiqc]
sample_size = params.sample_size // int
kraken_db = params.kraken_db // path
downstream_pipeline = params.downstream_pipeline // string: rnaseq, atacseq, taxprofiler
// Channel inputs
ch_versions = Channel.empty()
ch_multiqc_files = Channel.empty()
ch_multiqc_reports = Channel.empty()
checkqc_config = params.checkqc_config ? Channel.fromPath(params.checkqc_config, checkIfExists: true) : [] // file checkqc_config.yaml
ch_validator_schema = params.validator_schema ? Channel.fromPath(params.validator_schema, checkIfExists: true) : [] // file validator_schema.json
// Remove adapter from Illumina samplesheet to avoid adapter trimming in demultiplexer tools
if (params.remove_adapter && (params.demultiplexer in ["bcl2fastq", "bclconvert", "mkfastq"])) {
ch_samplesheet_no_adapter = ch_samplesheet
.collectFile(storeDir: "${params.outdir}") { item ->
def suffix = item[0].lane ? ".lane${item[0].lane}" : "" //need to produce one file per item in the channel else join fails
[ "${item[0].id}${suffix}_no_adapters.csv", AdapterRemover.removeAdaptersFromSampleSheet(item[1]) ]
}
.map { file -> //build meta again from file name
def meta_id = (file =~ /([^\/]+)(?=\.(lane|_no_adapters))/)[0][1] //extracts everything from the last "/" until ".lane" or "_no_adapters"
def meta_lane = (file =~ /\.lane(\d+)/)[0][1].toInteger() //extracts number after ".lane" until next "_", must be int to match lane value from meta
[[id: meta_id, lane: meta_lane],file]
}
ch_samplesheet_new = ch_samplesheet
.join( ch_samplesheet_no_adapter, failOnMismatch: true )
.map{ meta,samplesheet,flowcell,lane,new_samplesheet -> [meta,new_samplesheet,flowcell,lane] }
ch_samplesheet = ch_samplesheet_new
} else {
ch_samplesheet
.collectFile( storeDir: "${params.outdir}" ){ item ->
[ "${item[0].id}.csv", item[1] ]
}
}
// RUN samplesheet_validator samshee
if (!("samshee" in skip_tools) && (params.demultiplexer in ["bcl2fastq", "bclconvert", "mkfastq"])){
SAMSHEE (
ch_samplesheet.map{ meta, samplesheet, flowcell, lane -> [meta,samplesheet] },
ch_validator_schema
)
ch_versions = ch_versions.mix(SAMSHEE.out.versions)
}
// Convenience
ch_samplesheet.dump(tag: 'DEMULTIPLEX::inputs', {FormattingService.prettyFormat(it)})
// Split flowcells into separate channels containg run as tar and run as path
// https://nextflow.slack.com/archives/C02T98A23U7/p1650963988498929
if (demultiplexer == 'fqtk'){
ch_flowcells = ch_samplesheet
.branch { meta, samplesheet, flowcell, per_flowcell_manifest ->
tar: flowcell.toString().endsWith('.tar.gz')
dir: true
}
ch_flowcells_tar = ch_flowcells.tar
.multiMap { meta, samplesheet, flowcell, per_flowcell_manifest ->
samplesheets: [ meta, samplesheet, per_flowcell_manifest ]
run_dirs: [ meta, flowcell ]
}
} else {
ch_flowcells = ch_samplesheet
.map { meta, samplesheet, flowcell, per_flowcell_manifest ->
[ meta, samplesheet, flowcell ]
}
.branch { meta, samplesheet, flowcell ->
tar: flowcell.toString().endsWith('.tar.gz')
dir: true
}
ch_flowcells_tar = ch_flowcells.tar
.multiMap { meta, samplesheet, flowcell ->
samplesheets: [ meta, samplesheet ]
run_dirs: [ meta, flowcell ]
}
}
// MODULE: untar
// Runs when run_dir is a tar archive
// Except for bclconvert and bcl2fastq for wich we untar in the process
// Re-join the metadata and the untarred run directory with the samplesheet
if (demultiplexer in ['bclconvert', 'bcl2fastq']) ch_flowcells_tar_merged = ch_flowcells_tar.samplesheets.join(ch_flowcells_tar.run_dirs, failOnMismatch:true, failOnDuplicate:true)
else {
ch_flowcells_tar_merged = ch_flowcells_tar.samplesheets.join( UNTAR_FLOWCELL ( ch_flowcells_tar.run_dirs ).untar, failOnMismatch:true, failOnDuplicate:true )
ch_versions = ch_versions.mix(UNTAR_FLOWCELL.out.versions)
}
// Merge the two channels back together
ch_flowcells = ch_flowcells.dir.mix(ch_flowcells_tar_merged)
// RUN demultiplexing
//
ch_raw_fastq = Channel.empty()
switch (demultiplexer) {
case 'bases2fastq':
// MODULE: bases2fastq
// Runs when "demultiplexer" is set to "bases2fastq"
BASES_DEMULTIPLEX ( ch_flowcells )
ch_raw_fastq = ch_raw_fastq.mix(BASES_DEMULTIPLEX.out.fastq)
// TODO: verify that this is the correct output
ch_multiqc_files = ch_multiqc_files.mix(BASES_DEMULTIPLEX.out.metrics.map { meta, metrics -> return metrics} )
ch_versions = ch_versions.mix(BASES_DEMULTIPLEX.out.versions)
break
case ['bcl2fastq', 'bclconvert']:
// SUBWORKFLOW: illumina
// Runs when "demultiplexer" is set to "bclconvert" or "bcl2fastq"
BCL_DEMULTIPLEX( ch_flowcells, demultiplexer )
ch_raw_fastq = ch_raw_fastq.mix( BCL_DEMULTIPLEX.out.fastq )
ch_multiqc_files = ch_multiqc_files.mix( BCL_DEMULTIPLEX.out.reports.map { meta, report -> return report} )
ch_multiqc_files = ch_multiqc_files.mix( BCL_DEMULTIPLEX.out.stats.map { meta, stats -> return stats } )
ch_versions = ch_versions.mix(BCL_DEMULTIPLEX.out.versions)
if (!("checkqc" in skip_tools) && demultiplexer == 'bcl2fastq'){
RUNDIR_CHECKQC(ch_flowcells, BCL_DEMULTIPLEX.out.stats, BCL_DEMULTIPLEX.out.interop, checkqc_config, demultiplexer)
ch_versions = ch_versions.mix(RUNDIR_CHECKQC.out.versions)
ch_multiqc_files = ch_multiqc_files.mix( RUNDIR_CHECKQC.out.report.map { meta, json -> return json} )
}
break
case 'fqtk':
// MODULE: fqtk
// Runs when "demultiplexer" is set to "fqtk"
// Collect fastqs and read structures from field 2 of ch_flowcells
fastq_read_structure = ch_flowcells.map{it[2]}
.splitCsv(header:true)
.map{[it.fastq, it.read_structure]}
// Combine the directory containing the fastq with the fastq name and read structure
// [example_R1.fastq.gz, 150T, ./work/98/30bc..78y/fastqs/]
fastqs_with_paths = fastq_read_structure.combine(UNTAR_FLOWCELL.out.untar.collect{it[1]}).toList()
// Format ch_samplesheet like so:
// [[meta:id], <path to sample names and barcodes in tsv: path>, [<fastq name: string>, <read structure: string>, <path to fastqs: path>]]]
ch_samplesheet = ch_flowcells.merge( fastqs_with_paths ) { a,b -> tuple(a[0], a[1], b)}
FQTK_DEMULTIPLEX ( ch_samplesheet )
ch_raw_fastq = ch_raw_fastq.mix(FQTK_DEMULTIPLEX.out.fastq)
ch_multiqc_files = ch_multiqc_files.mix(FQTK_DEMULTIPLEX.out.metrics.map { meta, metrics -> return metrics} )
ch_versions = ch_versions.mix(FQTK_DEMULTIPLEX.out.versions)
break
case 'sgdemux':
// MODULE: sgdemux
// Runs when "demultiplexer" is set to "sgdemux"
SINGULAR_DEMULTIPLEX ( ch_flowcells )
ch_raw_fastq = ch_raw_fastq.mix(SINGULAR_DEMULTIPLEX.out.fastq)
ch_multiqc_files = ch_multiqc_files.mix(SINGULAR_DEMULTIPLEX.out.metrics.map { meta, metrics -> return metrics} )
ch_versions = ch_versions.mix(SINGULAR_DEMULTIPLEX.out.versions)
break
case 'mkfastq':
// MODULE: mkfastq
// Runs when "demultiplexer" is set to "mkfastq"
MKFASTQ_DEMULTIPLEX ( ch_flowcells )
ch_raw_fastq = ch_raw_fastq.mix(MKFASTQ_DEMULTIPLEX.out.fastq)
ch_versions = ch_versions.mix(MKFASTQ_DEMULTIPLEX.out.versions)
break
default:
error "Unknown demultiplexer: ${demultiplexer}"
}
ch_raw_fastq.dump(tag: "DEMULTIPLEX::Demultiplexed Fastq",{FormattingService.prettyFormat(it)})
//
// RUN QC and TRIMMING
//
ch_fastq_to_qc = ch_raw_fastq
// MODULE: fastp
if (!("fastp" in skip_tools)){
FASTP(ch_raw_fastq, [], [], [], [])
ch_multiqc_files = ch_multiqc_files.mix( FASTP.out.json.map { meta, json -> return json} )
ch_versions = ch_versions.mix(FASTP.out.versions)
if (trim_fastq) {
ch_fastq_to_qc = FASTP.out.reads
}
}
// MODULE: falco, drop in replacement for fastqc
if (!("falco" in skip_tools)){
FALCO(ch_fastq_to_qc)
ch_multiqc_files = ch_multiqc_files.mix( FALCO.out.txt.map { meta, txt -> return txt} )
ch_versions = ch_versions.mix(FALCO.out.versions)
}
// MODULE: md5sum
// Split file list into separate channels entries and generate a checksum for each
if (!("md5sum" in skip_tools)){
MD5SUM(ch_fastq_to_qc.transpose(), true)
ch_versions = ch_versions.mix(MD5SUM.out.versions)
}
// SUBWORKFLOW: FASTQ_CONTAM_SEQTK_KRAKEN
if ((!("kraken" in skip_tools) && kraken_db)){
if (kraken_db.endsWith(".tar.gz")){
UNTAR_KRAKEN_DB ( [[],file(kraken_db)] )
kraken_db = UNTAR_KRAKEN_DB.out.untar.map{ meta,file -> file }
} else {
kraken_db = file(kraken_db)
}
FASTQ_CONTAM_SEQTK_KRAKEN(
ch_fastq_to_qc,
[sample_size],
kraken_db
)
ch_versions = ch_versions.mix(FASTQ_CONTAM_SEQTK_KRAKEN.out.versions)
ch_multiqc_files = ch_multiqc_files.mix( FASTQ_CONTAM_SEQTK_KRAKEN.out.reports.map { meta, log -> return log })
}
// Prepare metamap with fastq info
ch_meta_fastq = ch_raw_fastq.map { meta, fastq_files ->
// Determine the publish directory based on the lane information
def publish_dir = meta.lane ? "${params.outdir}/${meta.id}/L00${meta.lane}" : "${params.outdir}/${meta.id}"
meta.fastq_1 = "${publish_dir}/${fastq_files[0].getName()}"
// Add full path for fastq_2 to the metadata if the sample is not single-end
if (!meta.single_end) {
meta.fastq_2 = "${publish_dir}/${fastq_files[1].getName()}"
}
return meta
}
// Module: FASTQ to samplesheet
FASTQ_TO_SAMPLESHEET(ch_meta_fastq, downstream_pipeline, 'auto')
FASTQ_TO_SAMPLESHEET.out.samplesheet
.map { it[1] }
.collectFile(name:'tmp_samplesheet.csv', newLine: true, keepHeader: true, sort: { it.baseName })
.map { it.text.tokenize('\n').join('\n') }
.collectFile(name:'samplesheet.csv', storeDir: "${params.outdir}/samplesheet")
.set { ch_samplesheet }
//
// Collate and save software versions
//
softwareVersionsToYAML(ch_versions)
.collectFile(
storeDir: "${params.outdir}/pipeline_info",
name: 'nf_core_pipeline_software_mqc_versions.yml',
sort: true,
newLine: true
).set { ch_collated_versions }
// MODULE: MultiQC
if (!("multiqc" in skip_tools)){
ch_multiqc_files.collect().dump(tag: "multiqc_files",{FormattingService.prettyFormat(it)})
ch_multiqc_config = Channel.fromPath(
"$projectDir/assets/multiqc_config.yml", checkIfExists: true)
ch_multiqc_custom_config = params.multiqc_config ?
Channel.fromPath(params.multiqc_config, checkIfExists: true) :
Channel.empty()
ch_multiqc_logo= params.multiqc_logo ?
Channel.fromPath(params.multiqc_logo, checkIfExists: true) :
Channel.empty()
summary_params = paramsSummaryMap(
workflow, parameters_schema: "nextflow_schema.json")
ch_workflow_summary = Channel.value(paramsSummaryMultiqc(summary_params))
ch_multiqc_custom_methods_description = params.multiqc_methods_description ?
file(params.multiqc_methods_description, checkIfExists: true) :
file("$projectDir/assets/methods_description_template.yml", checkIfExists: true)
ch_methods_description = Channel.value(
methodsDescriptionText(ch_multiqc_custom_methods_description))
ch_multiqc_files = ch_multiqc_files.mix(
ch_workflow_summary.collectFile(name: 'workflow_summary_mqc.yaml'))
ch_multiqc_files = ch_multiqc_files.mix(ch_collated_versions)
ch_multiqc_files = ch_multiqc_files.mix(
ch_methods_description.collectFile(
name: 'methods_description_mqc.yaml',
sort: true
)
)
MULTIQC ( //TODO fix multiqc not resuming
ch_multiqc_files.collect(),
ch_multiqc_config.toList(),
ch_multiqc_custom_config.toList(),
ch_multiqc_logo.toList(),
[],
[]
)
ch_multiqc_reports = ch_multiqc_reports.mix(MULTIQC.out.report)
}
emit:
multiqc_report = ch_multiqc_reports // channel: /path/to/multiqc_report.html
versions = ch_versions // channel: [ path(versions.yml) ]
}
/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
THE END
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/