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main.nf
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#!/usr/bin/env nextflow
nextflow.enable.dsl=2
params.samples_tsv = './samples.tsv'
params.db = ""
db_name = file(params.db).name
db_path = file(params.db).parent
params.evalue='0.1'
params.topHits = '5'
params.cpus='18'
params.publish_dir = './'
log.info """\
s a n g e r F L O W
A Sanger sequencing-based bioinformatics pipeline for pest and pathogen diagnosis
Asad Prodhan
=======================================
"""
.stripIndent()
//Processing R1
//rename the reads with their sample IDs
process renameR1 {
tag "${read1.simpleName}"
publishDir (
path: "${params.publish_dir}/temp",
mode: 'copy',
overwrite: 'true',
)
input:
tuple val(sampleId), path(read1)
output:
tuple val(sampleId), path ("*.fasta")
script:
"""
bioawk -c fastx '{ print ">"\$name;print (\$seq) }' ${read1} > ${sampleId}.R1.fasta
"""
}
//trimming low quality reads
process trimR1 {
tag "${x.baseName}"
publishDir (
path: "${params.publish_dir}/temp",
mode: 'copy',
overwrite: 'true',
)
input:
tuple val(sampleId), path(x)
output:
tuple val(sampleId), path ("*.trim.R1.fasta"), emit: R1_read
script:
"""
sed '/^[^>]/s/[R|Y|W|S|M|K|H|B|V|D|N]/-/g' $x > ${x.simpleName}.trim.R1.fasta
"""
}
//Processing R2
//rename the reads with their sample IDs
process renameR2 {
tag "${read2.simpleName}"
publishDir (
path: "${params.publish_dir}/temp",
mode: 'copy',
overwrite: 'true',
)
input:
tuple val(sampleId), path(read2)
output:
tuple val(sampleId), path ("*.fasta")
script:
"""
bioawk -c fastx '{ print ">"\$name;print (\$seq) }' ${read2} > ${sampleId}.R2.fasta
"""
}
//R2 reverse complement
process revComp {
tag "${x.baseName}"
publishDir (
path: "${params.publish_dir}/temp",
mode: 'copy',
overwrite: 'true',
)
input:
tuple val(sampleId), path(x)
output:
tuple val(sampleId), path ("*")
script:
"""
bioawk -c fastx '{ print ">"\$name;print revcomp(\$seq) }' $x > ${x.simpleName}.revComp.R2.fasta
"""
}
//trimming low quality reads
process trimR2 {
tag "${x.baseName}"
publishDir (
path: "${params.publish_dir}/temp",
mode: 'copy',
overwrite: 'true',
)
input:
tuple val(sampleId), path(x)
output:
tuple val(sampleId), path ("*.trim.R2.fasta"), emit: R2_read
script:
"""
sed '/^[^>]/s/[R|Y|W|S|M|K|H|B|V|D|N]/-/g' $x > ${x.simpleName}.revComp.trim.R2.fasta
"""
}
//concat the reads
process concatination {
tag "${processed_read1.baseName}"
publishDir (
path: "${params.publish_dir}/temp",
mode: 'copy',
overwrite: 'true',
)
input:
tuple val(sample), path(processed_read1), path(processed_read2)
output:
tuple val(sample), path("*.Merged.fasta")
script:
"""
cat ${processed_read1} ${processed_read2} > ${processed_read1.simpleName}.Merged.fasta
"""
}
// Read 1 and Read2 alignment
process alignment {
tag "${x.baseName}"
publishDir (
path: "${params.publish_dir}/temp",
mode: 'copy',
overwrite: 'true',
)
input:
tuple val(sample), path(x)
output:
tuple val(sample), path ("*")
script:
"""
clustalo --in=$x --out=${x.simpleName}.clustal --force --outfmt=clu --wrap=80 --dealign
"""
}
// Extracting the most representative sequence from the alignment file
process contig {
tag "${x.baseName}"
publishDir (
path: "${params.publish_dir}/temp",
mode: 'copy',
overwrite: 'true',
)
input:
tuple val(sample), path(x)
output:
tuple val(sample), path ("${x.simpleName}.fasta")
script:
"""
cons -sequence $x -outseq ${x.simpleName}.fasta
"""
}
// Renaming the contig fasta header with actual sample name
process renameContigFastaHeader {
tag "${x.simpleName}"
publishDir (
path: "${params.publish_dir}/temp",
mode: 'copy',
overwrite: 'true',
)
input:
tuple val(sample), path(x)
output:
tuple val(sample), path ("*.fasta"), emit: contig_seq
script:
"""
awk '{gsub(/EMBOSS_001/,"${x.simpleName}"); print}' $x > ${x.simpleName}.withHeader.fasta
"""
}
//Blastn
process blastn {
tag "${query.baseName}"
publishDir "${params.publish_dir}/results", mode:'copy'
input:
tuple val(query_id), path(query)
path db
output:
path ("${query.baseName}_blast_sort.tsv"), emit: blastHits
path ("${query.baseName}_blast.xml")
path ("${query.baseName}_blast.html")
script:
"""
blastn \
-query ${query} -db "${db}/${db_name}/nt" \
-outfmt 11 -out ${query.baseName}_blast.asn \
-evalue ${params.evalue} \
-num_threads ${params.cpus}
blast_formatter \
-archive ${query.baseName}_blast.asn \
-outfmt 5 -out ${query.baseName}_blast.xml
blast_formatter \
-archive ${query.baseName}_blast.asn \
-html -out ${query.baseName}_blast.html
blast_formatter \
-archive ${query.baseName}_blast.asn \
-outfmt "6 qaccver saccver pident length evalue bitscore mismatch gapopen qstart qend sstart send stitle" -out ${query.baseName}_blast_unsort.tsv
sort -k1,1 -k5,5n -k4,4nr -k6,6nr ${query.baseName}_blast_unsort.tsv > ${query.baseName}_blast_sort.tsv
"""
}
//Blastn_topHits
process blastnTopHits {
tag "${query.baseName}"
publishDir "${params.publish_dir}/temp", mode:'copy'
input:
path(query)
output:
path ("${query.baseName}_blast_sort_topHits.tsv"), emit: topHits
script:
"""
head -n ${params.topHits} ${query} > ${query.baseName}_blast_sort_topHits.tsv
"""
}
//concatinating sorted blastn files into a single file and adding headers
process blastHits_concat {
publishDir "${params.publish_dir}/results", mode:'copy'
input:
file combinedFiles
output:
path "concatenatedHits_withHeaders.tsv"
script:
"""
cat ${combinedFiles} >> concatenatedHits.tsv
awk 'BEGIN{print "qaccver\tsaccver\tpident\tlength\tevalue\tbitscore\tmismatch\tgapopen\tqstart\tqend\tsstart\tsend\tstitle"}1' concatenatedHits.tsv > concatenatedHits_withHeaders.tsv
"""
}
// //workflow definition
workflow {
Channel.fromPath( params.samples_tsv )
| splitCsv( header: true, sep: '\t' )
| map { row -> tuple( row.sampleId, file(row.read1) ) }
| renameR1
| trimR1
Channel.fromPath( params.samples_tsv )
| splitCsv( header: true, sep: '\t' )
| map { row -> tuple( row.sampleId, file(row.read2) ) }
| renameR2
| revComp
| trimR2
trimR1.out
| combine( trimR2.out, by: 0 )
| map { sample, processed_read1, read2 ->
processed_read2 = read2 instanceof Path ? [read2] : read2
tuple( sample, processed_read1, processed_read2 )
}
| transpose( by: 2 )
| concatination
| alignment
| contig
| renameContigFastaHeader
blastn (renameContigFastaHeader.out.contig_seq, db_path)
blastnTopHits(blastn.out.blastHits)
blastHits_concat(blastnTopHits.out.topHits.collect())
}