1
0
Fork 0
mirror of https://github.com/MillironX/taxprofiler.git synced 2024-11-21 22:36:05 +00:00
taxprofiler/subworkflows/local/shortread_adapterremoval.nf
2022-12-04 21:54:10 +01:00

95 lines
3.3 KiB
Text

//
// Process short raw reads with AdapterRemoval
//
include { ADAPTERREMOVAL as ADAPTERREMOVAL_SINGLE } from '../../modules/nf-core/adapterremoval/main'
include { ADAPTERREMOVAL as ADAPTERREMOVAL_PAIRED } from '../../modules/nf-core/adapterremoval/main'
include { CAT_FASTQ } from '../../modules/nf-core/cat/fastq/main'
workflow SHORTREAD_ADAPTERREMOVAL {
take:
reads // [[meta], [reads]]
adapterlist // file
main:
ch_versions = Channel.empty()
ch_multiqc_files = Channel.empty()
ch_input_for_adapterremoval = reads
.branch{
single: it[0].single_end
paired: !it[0].single_end
}
ADAPTERREMOVAL_SINGLE ( ch_input_for_adapterremoval.single, adapterlist )
ADAPTERREMOVAL_PAIRED ( ch_input_for_adapterremoval.paired, adapterlist )
/*
* Due to the ~slightly~ very ugly output implementation of the current AdapterRemoval2 version, each file
* has to be exported in a separate channel and we must manually recombine when necessary.
*/
if ( params.shortread_qc_mergepairs && params.shortread_qc_includeunmerged ) {
ch_concat_fastq = Channel.empty()
.mix(
ADAPTERREMOVAL_PAIRED.out.collapsed,
ADAPTERREMOVAL_PAIRED.out.collapsed_truncated,
ADAPTERREMOVAL_PAIRED.out.singles_truncated,
ADAPTERREMOVAL_PAIRED.out.paired_truncated
)
.map { meta, reads ->
[meta + [single_end: true], reads]
}
.groupTuple()
// Paired-end reads cause a nested tuple during grouping.
// We want to present a flat list of files to `CAT_FASTQ`.
.map { meta, fastq -> [meta, fastq.flatten()] }
CAT_FASTQ(ch_concat_fastq)
ch_adapterremoval_reads_prepped = CAT_FASTQ.out.reads
.mix(ADAPTERREMOVAL_SINGLE.out.singles_truncated)
} else if ( params.shortread_qc_mergepairs && !params.shortread_qc_includeunmerged ) {
ch_concat_fastq = Channel.empty()
.mix(
ADAPTERREMOVAL_PAIRED.out.collapsed,
ADAPTERREMOVAL_PAIRED.out.collapsed_truncated
)
.map { meta, reads ->
[meta + [single_end: true], reads]
}
.groupTuple()
.map { meta, fastq -> [meta, fastq.flatten()] }
CAT_FASTQ(ch_concat_fastq)
ch_adapterremoval_reads_prepped = CAT_FASTQ.out.reads
.mix(ADAPTERREMOVAL_SINGLE.out.singles_truncated)
} else {
ch_adapterremoval_reads_prepped = ADAPTERREMOVAL_PAIRED.out.paired_truncated
.mix(ADAPTERREMOVAL_SINGLE.out.singles_truncated)
}
ch_versions = ch_versions.mix( ADAPTERREMOVAL_SINGLE.out.versions.first() )
ch_versions = ch_versions.mix( ADAPTERREMOVAL_PAIRED.out.versions.first() )
ch_multiqc_files = ch_multiqc_files.mix(
ADAPTERREMOVAL_PAIRED.out.settings,
ADAPTERREMOVAL_SINGLE.out.settings
)
emit:
reads = ch_adapterremoval_reads_prepped // channel: [ val(meta), [ reads ] ]
versions = ch_versions // channel: [ versions.yml ]
mqc = ch_multiqc_files
}