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89 lines
4.5 KiB
Text
89 lines
4.5 KiB
Text
/*
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Process short raw reads with AdapterRemoval
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*/
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include { ADAPTERREMOVAL as ADAPTERREMOVAL_SINGLE } from '../../modules/nf-core/modules/adapterremoval/main'
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include { ADAPTERREMOVAL as ADAPTERREMOVAL_PAIRED } from '../../modules/nf-core/modules/adapterremoval/main'
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include { CAT_FASTQ } from '../../modules/nf-core/modules/cat/fastq/main'
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workflow SHORTREAD_ADAPTERREMOVAL {
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take:
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reads // [[meta], [reads]]
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main:
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ch_versions = Channel.empty()
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ch_multiqc_files = Channel.empty()
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ch_input_for_adapterremoval = reads
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.branch{
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single: it[0]['single_end'] == true
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paired: it[0]['single_end'] == false
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}
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ADAPTERREMOVAL_SINGLE ( ch_input_for_adapterremoval.single, [] )
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ADAPTERREMOVAL_PAIRED ( ch_input_for_adapterremoval.paired, [] )
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if ( params.shortread_clipmerge_mergepairs && !params.shortread_clipmerge_excludeunmerged ) {
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ch_adapterremoval_for_cat = ADAPTERREMOVAL_PAIRED.out.collapsed
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.mix(
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ADAPTERREMOVAL_PAIRED.out.collapsed_truncated,
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ADAPTERREMOVAL_PAIRED.out.singles_truncated,
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ADAPTERREMOVAL_PAIRED.out.pair1_truncated,
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ADAPTERREMOVAL_PAIRED.out.pair2_truncated
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)
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.map {
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meta, reads ->
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def meta_new = meta.clone()
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meta_new['single_end'] = true
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[ meta_new, reads ]
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}
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.groupTuple(by: 0)
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ch_adapterremoval_reads_prepped_pe = CAT_FASTQ ( ch_adapterremoval_for_cat ).reads
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ch_adapterremoval_reads_prepped = ch_adapterremoval_reads_prepped_pe.mix( ADAPTERREMOVAL_SINGLE.out.singles_truncated )
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} else if ( params.shortread_clipmerge_mergepairs && params.shortread_clipmerge_excludeunmerged ) {
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ch_adapterremoval_for_cat = ADAPTERREMOVAL_PAIRED.out.collapsed
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.mix( ADAPTERREMOVAL_PAIRED.out.collapsed_truncated )
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.map {
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meta, reads ->
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def meta_new = meta.clone()
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meta_new['single_end'] = true
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[ meta_new, reads ]
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}
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.groupTuple(by: 0)
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ch_adapterremoval_reads_prepped_pe = CAT_FASTQ ( ch_adapterremoval_for_cat ).reads
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ch_adapterremoval_reads_prepped = ch_adapterremoval_reads_prepped_pe.mix( ADAPTERREMOVAL_SINGLE.out.singles_truncated )
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} else {
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ch_adapterremoval_reads_prepped_pe = ADAPTERREMOVAL_PAIRED.out.pair1_truncated
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.join( ADAPTERREMOVAL_PAIRED.out.pair2_truncated )
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.groupTuple(by: 0)
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.map { meta, pair1, pair2 ->
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[ meta, [ pair1, pair2 ].flatten() ]
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}
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ch_adapterremoval_reads_prepped = ch_adapterremoval_reads_prepped_pe
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.mix( ADAPTERREMOVAL_SINGLE.out.singles_truncated )
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}
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ch_processed_reads = ch_adapterremoval_reads_prepped
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ch_versions = ch_versions.mix( ADAPTERREMOVAL_SINGLE.out.versions.first() )
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ch_versions = ch_versions.mix( ADAPTERREMOVAL_PAIRED.out.versions.first() )
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ch_multiqc_files = ch_multiqc_files.mix( ADAPTERREMOVAL_PAIRED.out.log.collect{it[1]}, ADAPTERREMOVAL_SINGLE.out.log.collect{it[1]} )
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emit:
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reads = ch_processed_reads // channel: [ val(meta), [ reads ] ]
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versions = ch_versions // channel: [ versions.yml ]
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mqc = ch_multiqc_files
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}
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