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piper_std.nf
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/*
* Copyright (c) 2013-2018, Centre for Genomic Regulation (CRG) and the authors.
*
* This file is part of 'Piper-NF'.
*
* Piper-NF is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Piper-NF is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Piper-NF. If not, see <http://www.gnu.org/licenses/>.
*/
/*
* Main Piper-NF pipeline script
*
* @authors
* Giovanni Bussotti <[email protected]>
* Paolo Di Tommaso <[email protected]>
* Pablo Prieto <[email protected]>
*
*
* Defines the pipeline parameters.
* The values in the 'params' map can be overridden on the command line by specifying a
* option prefixed with a double '-' char, for example
*
* $ nextflow piper.nf --query=<path to your file name>
*
*/
params.queryChunkSize = 100
params.query = 'tutorial/5_RNA_queries.fa'
params.genomesDb = 'db'
params.resultDir = 'result'
params.blastStrategy = 'ncbi-blast' // the blast tool to be used, choose between: ncbi-blast, wu-blast
params.alignStrategy = 'slow_pair' // defines the T-Coffee alignment method
params.exonerateSuccess = '1'
params.exonerateMode = 'exhaustive'
// these parameters are mutually exclusive
// Input genome can be specified by
// - genomes-file: a file containing the list of genomes FASTA to be processed
// - genomes-list: a comma separated list of genomes FASTA file
// - genomes-folder: a directory containing a folder for each genome FASTA file
params['genomes-file'] = null
params['genomes-list'] = null
params['genomes-folder'] = "tutorial/genomes/"
queryFile = file(params.query)
dbPath = file(params.genomesDb)
if( !dbPath.exists() ) {
log.warn "Creating genomes-db path: $dbPath"
if( !dbPath.mkdirs() ) {
exit 1, "Cannot create genomes-db path: $dbPath -- check file system permissions"
}
}
log.info "P I P E R - RNA mapping pipeline"
log.info "================================"
log.info "query : ${queryFile}"
log.info "genomes-db : ${dbPath}"
log.info "query-chunk-size : ${params.queryChunkSize}"
log.info "result-dir : ${params.resultDir}"
log.info "blast-strategy : ${params.blastStrategy}"
log.info "align-strategy : ${params.alignStrategy}"
log.info "exonerate-success : ${params.exonerateSuccess}"
log.info "exonerate-mode : ${params.exonerateMode}"
log.info "pool-size : ${config.poolSize}"
log.info "\n"
/*
* Find out all the genomes files in the specified directory.
*
* More in detail teh 'sourceGenomesPath' points to a directory having a
* sub-folder for each genome it is required to process.
*
* Each sub-folder must contain the genome FASTA file to be processed.
*
* The sub-folder name is used to identify the genome in the computation.
*
* All the genomes names found in this path are put in a list named 'formatName',
* which control the pipeline execution.
*
*/
allGenomes = [:]
// when the provided source path is a FILE
// each line represent the path to a genome file
if( params['genomes-file'] ) {
def genomesFile = file(params['genomes-file'])
if( genomesFile.empty() ) {
exit 1, "Not a valid input genomes descriptor file: ${genomesFile}"
}
allGenomes = parseGenomesFile(genomesFile)
}
else if( params['genomes-list'] ) {
allGenomes = parseGenomesList(params['genomes-list'])
}
else if( params['genomes-folder'] ) {
def sourcePath = file(params['genomes-folder'])
if( !sourcePath.exists() || sourcePath.empty() ) {
exit 4, "Not a valid input genomes folder: ${sourcePath}"
}
allGenomes = parseGenomesFolder(sourcePath)
}
else {
exit 5, "No input genome(s) provided -- Use one of the following CLI options 'genomes-file' or 'genomes-list' or 'genomes-folder' "
}
if( !allGenomes ) {
exit 6, "No genomes found in path"
}
allGenomes.each { name, genome_fa ->
log.info "Validating genome: $name -- file: ${genome_fa}"
if( !genome_fa.exists() ) {
exit 3, "Missing genome file: ${genome_fa}"
}
}
/*
* Split the query input file in many small files (chunks).
*
* The number of sequences in each chunk is controlled by the parameter 'queryChunkSize'
* The chunk files are saved in a local folder define by the variable 'querySplits'
*
*/
// create a folder that may be cached, using the 'queryFile' and the number chunks as cache key
querySplits = cacheableDir([queryFile, params.queryChunkSize])
if( querySplits.empty() ) {
log.info "Splitting query file: $queryFile .."
chunkCount=0
queryFile.chunkFasta( params.queryChunkSize ) { sequence ->
def file = querySplits.resolve("seq_${chunkCount++}")
file.text = sequence
}
log.info "Created $chunkCount input chunks to path: ${querySplits}"
}
else {
log.info "Cached query splits > ${querySplits.list().size()} input query chunks"
}
allQueryIDs = []
queryFile.chunkFasta() { String chunk ->
allQueryIDs << chunk.readLines()[0].replaceAll( /^>(\S*).*$/, '$1' )
}
/*
* Create the required databases (BLAST,CHR) if they does not exists.
*
* This task is executed for each genome in the list 'formatName'
* The tasks 'sends' out the name of the genome to be processed
* by the next step in the pipeline using the variable 'blastName'
*/
def sed_cmd = (System.properties['os.name'] == 'Mac OS X' ? 'gsed' : 'sed')
def split_cmd = (System.properties['os.name'] == 'Mac OS X' ? 'gcsplit' : 'csplit')
/*
* creates two channels that feed the 'formatBlast' and 'formatChr' processes
*/
fmtBlastParams = Channel.create()
fmtChrParams = Channel.create()
Channel
.from(allGenomes.entrySet())
.map { entry -> [ entry.key, entry.value ] } // <-- return a tuple like (specie, genome_fasta)
.split( fmtChrParams, fmtBlastParams )
/*
* Given the genome FASTA file, format to a binary format using the BLAST
*/
process formatBlast {
storeDir dbPath
input:
set (specie, genome_fa) from fmtBlastParams
output:
set (specie, file("$blast_db")) into fmtBlastOut
script:
blast_db = "$specie/${params.blastStrategy}-db"
"""
## Create the target folder
mkdir -p $blast_db
## Format the BLAST DB
x-format.sh ${params.blastStrategy} ${genome_fa} ${blast_db}
"""
}
/*
* Given the genome FASTA file splits in a file file for each sequence
*/
process formatChr {
storeDir dbPath
input:
set (specie, genome_fa ) from fmtChrParams
output:
set (specie, file("$chr_db")) into fmtChrOut
script:
chr_db = "${specie}/chr"
"""
## split the fasta in a file for each sequence 'seq_*'
${split_cmd} ${genome_fa} '%^>%' '/^>/' '{*}' -f seq_ -n 5
## create the target folder
mkdir -p ${chr_db}
## rename and move to the target folder
for x in seq_*; do
SEQID=`grep -E "^>" \$x | ${sed_cmd} -r 's/^>(\\S*).*/\\1/'`
mv \$x ${chr_db}/\$SEQID;
done
"""
}
/*
* Implements the BLAST step
*/
blast_in = fmtBlastOut.spread( querySplits.listFiles() )
process blast {
input:
set (blastId, file(blast_db), file('blastQuery') ) from blast_in
output:
set (blastId, 'blastQuery', '*.mf2' ) into blast_result
script:
if( params.blastStrategy == 'ncbi-blast' )
"""
fmt='6 qseqid sseqid evalue score qgi bitscore length nident positive mismatch pident ppos qacc gaps gaopen qaccver qlen qframe qstart qend sframe sstart send'
blastn -db $blast_db/db -query blastQuery -outfmt "\$fmt" > ${blastId}.mf2
"""
else if( params.blastStrategy == 'wu-blast' )
"""
wu-blastn $dblast_db/db blastQuery -mformat=2 -e 0.00001 -cpus 1 -filter=seg -lcfilter > ${blastId}.mf2
"""
}
exonerate_in = fmtChrOut // fmtChrOut: emits (specie, chr_db)
.cross( blast_result ) // blast_result: emits (specie, blast_query, blast_hits )
.map { chr, blast ->
[ chr[0], chr[1], blast[1], blast[2] ] // returns ( specie, chr_db, blast_query, blast_hits )
}
/*
* Collect the BLAST output chunks and apply the 'exonerate' function
*/
process exonerate {
input:
set ( specie, file(chr_db), file(exonerateQuery), file(blastResult) ) from exonerate_in
output:
file '*.fa' into exonerateOut mode flatten
file '*.gtf' into exonerateGtf mode flatten
"""
## apply exonerate
exonerateRemapping.pl -query ${exonerateQuery} -mf2 $blastResult -targetGenomeFolder $chr_db -exonerate_lines_mode ${params.exonerateMode} -exonerate_success_mode ${params.exonerateMode} -ner no
if [ ! -s *.fa ]; then exit 0; fi
## exonerateRemapping create a file named '*.fa'
## split the exonerate result into single files
${split_cmd} *.fa '%^>%' '/^>/' '{*}' -f .seq_ -n 5
mv *.fa .exonerate.fa
## rename the seq_xxx files so that the file name match the seq fasta id
## plus append the specie to th sequence id
for x in .seq_*; do
SEQID=`grep '>' \$x`
FILENAME=`grep '>' \$x | ${sed_cmd} -r 's/^>(.*)_hit\\d*.*\$/\\1/'`
printf "\${SEQID}_${specie}\\n" >> \${FILENAME}.fa
cat \$x | grep -v '>' >> \${FILENAME}.fa
done
"""
}
fastaToMerge = exonerateOut.filter { file -> file.baseName in allQueryIDs }
process prepare_mfa {
merge true
input:
file fastaToMerge
output:
file '*.mfa' into fastaToAlign mode flatten
"""
# Extract the file name w/o the extension
baseName="${fastaToMerge.baseName}"
# Only the first time append the query sequence
if [ ! -e \$baseName.mfa ]; then
perl -n -e '\$on=(/^>('\$baseName')\$/) if (/^>/); print \$_ if (\$on);' $queryFile > \$baseName.mfa
fi
# Append the exonerate result
cat $fastaToMerge >> \$baseName.mfa
"""
}
process align {
input:
file fastaToAlign
output:
file '*.aln' into alignment
"""
t_coffee -in $fastaToAlign -method ${params.alignStrategy} -n_core 1
"""
}
process similarity {
merge true
input:
file alignment
output:
file '*' into similarity
"""
t_coffee -other_pg seq_reformat -in $alignment -output sim > ${alignment.baseName}
"""
}
/*
* Copy the GFT files produces by the Exonerate steps into the result (current) folder
*/
resultDir = file(params.resultDir)
resultDir.with {
if( !empty() ) { deleteDir() }
mkdirs()
}
exonerateGtf.each { file ->
if( file.size() == 0 ) return
def name = file.name
def gtfFileName = resultDir.resolve(name)
gtfFileName << file.text
}
/*
* Compute the similarity Matrix
*/
process matrix {
echo true
input:
file similarity
output:
file 'simMatrix'
"""
echo '\n====== Pipe-R sim matrix ======='
mkdir data
mv ${similarity} data
sim2matrix.pl -query $queryFile -data_dir data -genomes_dir $dbPath | tee simMatrix
echo '\n'
"""
}
simMatrix.subscribe { file ->
file.copyTo( resultDir.resolve('simMatrix.csv') )
}
// ----==== utility methods ====----
def parseGenomesFile( sourcePath ) {
def result = [:]
// parse the genomes input file files (genome-id, path to genome file)
int count=0
sourcePath.eachLine { line ->
def genomeId
def path
def items = line.trim().split(/\s+/)
if( items.size() > 1 ) {
count++
(path, genomeId) = items
}
else if( items.size() ==1 && items[0] ){
count++
genomeId = "gen${count}"
path = items[0]
}
else {
return
}
result[ genomeId ] = file(path)
}
result
}
def parseGenomesList(String genomesList) {
def count=0
def files = genomesList.split(',').collect { file(it.trim()) }
def result = [:]
files.each { genomeFile ->
def genomeId = "gen${++count}"
result[ genomeId ] = genomeFile
}
result
}
def parseGenomesFolder(sourcePath) {
def result = [:]
sourcePath.eachDir { path ->
def fasta = path.listFiles().find { file -> file.name.endsWith('.fa') }
if( fasta ) {
result[ path.name ] = fasta
}
}
result
}
// ----===== TEST ====-------
def void testParseGenomesFile() {
def source = file('test-source')
try {
source.text =
'''
x/file1.fa
y/file2.fa genx
z/file3.fa
'''
def result = parseGenomesFile(source)
assert result.size() == 3
assert result['gen1'] == file('x/file1.fa')
assert result['genx'] == file('y/file2.fa')
assert result['gen3'] == file('z/file3.fa')
}
finally {
source.delete()
}
}
def void testParseGenomesList() {
def db = file('db')
// call the function to test
def result = parseGenomesList('alpha.fa, beta.fa, delta.fa')
// verify result
assert result.size() == 3
assert result['gen1'] == file('alpha.fa')
assert result['gen2'] == file('beta.fa')
assert result['gen3'] == file('delta.fa')
}
def void testParseGenomesFolder() {
def root = file('test-folder')
try {
// create the structure to test
def folder1 = root.resolve('alpha')
def folder2 = root.resolve('beta')
def folder3 = root.resolve('delta')
folder1.mkdirs()
folder2.mkdirs()
folder3.mkdirs()
folder1.resolve('gen1.fa').text = 'uno'
folder2.resolve('gen2.fa').text = 'due'
folder3.resolve('gen3.fa').text = 'tre'
// call the function to test
def result = parseGenomesFolder(root)
// verify result
assert result.size() == 3
assert result['alpha'] == folder1.resolve('gen1.fa')
assert result['beta'] == folder2.resolve('gen2.fa')
assert result['delta'] == folder3.resolve('gen3.fa')
}
finally {
root.deleteDir()
}
}