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main.nf
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#!/usr/bin/env nextflow
/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
nf-core/pacvar
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Github : https://github.com/nf-core/pacvar
Website: https://nf-co.re/pacvar
Slack : https://nfcore.slack.com/channels/pacvar
----------------------------------------------------------------------------------------
*/
/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
IMPORT FUNCTIONS / MODULES / SUBWORKFLOWS / WORKFLOWS
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
include { PACVAR } from './workflows/pacvar/'
include { PIPELINE_INITIALISATION } from './subworkflows/local/utils_nfcore_pacvar_pipeline'
include { PIPELINE_COMPLETION } from './subworkflows/local/utils_nfcore_pacvar_pipeline'
include { getGenomeAttribute } from './subworkflows/local/utils_nfcore_pacvar_pipeline'
params.fasta = getGenomeAttribute('fasta')
params.fasta_fai = getGenomeAttribute('fasta_fai')
params.dbsnp = getGenomeAttribute('dbsnp')
params.dbsnp_tbi = getGenomeAttribute('dbsnp_tbi')
params.dict = getGenomeAttribute('dict')
//
// WORKFLOW: Run main analysis pipeline depending on type of input
//
workflow NFCORE_PACVAR {
take:
samplesheet // channel: samplesheet read in from --input
fasta // channel: [mandatory] fasta
fasta_fai // channel: [mandatory] fasta_fai
dict // channel: [mandatory] dict
dbsnp // channel: [mandatory] dbsnp
dbsnp_tbi // channel: [mandatory] dbsnp_tbi
intervals // channel: [mandatory] intervals
repeat_id // channel: [mandatory] id
karyotype // channel: [mandatory] karyotype
main:
//
// WORKFLOW: Run pipeline
//
PACVAR (
samplesheet,
fasta,
fasta_fai,
dict,
dbsnp,
dbsnp_tbi,
intervals,
repeat_id,
karyotype
)
emit:
multiqc_report = PACVAR.out.multiqc_report // channel: /path/to/multiqc_report.html
}
/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RUN MAIN WORKFLOW
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
workflow {
main:
// Initialize genomic attibutes with associated meta data maps as channels
fasta = params.fasta ? Channel.fromPath(params.fasta).map{ it -> [ [id:it.baseName], it ] }.collect() : Channel.empty()
fasta_fai = params.fasta_fai ? Channel.fromPath(params.fasta_fai).map{ it -> [ [id:it.baseName], it ] }.collect() : Channel.empty()
dict = params.dict ? Channel.fromPath(params.dict).map{ it -> [ [id:it.baseName], it ] }.collect() : Channel.empty()
dbsnp = params.dbsnp ? Channel.fromPath(params.dbsnp).collect() : Channel.value([])
dbsnp_tbi = params.dbsnp_tbi ? Channel.fromPath(params.dbsnp_tbi).collect() : Channel.value([])
intervals = params.intervals ? Channel.fromPath(params.intervals).map{ it -> [ [id:it.baseName], it ] }.collect() : Channel.value([[],[]])
repeat_id = params.repeat_id ? Channel.fromPath(params.repeat_id).map{ it -> [ [id:it.baseName], it.baseName ] }.collect() : Channel.value([])
karyotype = params.karyotype ? Channel.fromPath(params.karyotype).map{ it -> [ [id:it.baseName], it.baseName ] }.collect() : Channel.value([])
//
// SUBWORKFLOW: Run initialisation tasks
//
PIPELINE_INITIALISATION (
params.version,
params.validate_params,
params.monochrome_logs,
args,
params.outdir,
params.input
)
//
// WORKFLOW: Run main workflow
//
NFCORE_PACVAR (
PIPELINE_INITIALISATION.out.samplesheet,
fasta,
fasta_fai,
dict,
dbsnp,
dbsnp_tbi,
intervals,
repeat_id,
karyotype
)
//
// SUBWORKFLOW: Run completion tasks
//
PIPELINE_COMPLETION (
params.email,
params.email_on_fail,
params.plaintext_email,
params.outdir,
params.monochrome_logs,
params.hook_url,
NFCORE_PACVAR.out.multiqc_report
)
}
/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
THE END
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/