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RiboFlow.groovy
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/*
vim: syntax=groovy
-*- mode: groovy;-*-
*/
/*
Developed and tested on:
N E X T F L O W ~ version 19.04.1
*/
////////////////////////////////////////////////////////////////////////////////
////// General Function Definitions ////////////////////////////////////////////
String get_storedir(output_type){
new File( params.output.intermediates.base,
params.output.intermediates.get(output_type, output_type) )
.getCanonicalPath()
}
String get_publishdir(output_type){
new File( params.output.output.base,
params.output.output.get(output_type, output_type) )
.getCanonicalPath()
}
////// General Function Definitions ////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////
fastq_base = params.input.get("fastq_base", "")
if(! fastq_base.endsWith("/") && fastq_base != ""){
fastq_base = "${fastq_base}/"
}
// Group input files into a list of tuples where each item is
// [ sample, fileindex, path_to_fastq_file]
Channel.from(params.input.fastq.collect{k,v ->
v.collect{ z -> [k, v.indexOf(z) + 1,
file("${fastq_base}${z}")] } })
.flatten().collate(3).into{ INPUT_SAMPLES_VERBOSE;
INPUT_SAMPLES_MD5;
INPUT_SAMPLES_EXISTENCE;
INPUT_SAMPLES_FASTQC;
INPUT_SAMPLES_CLIP;
INPUT_SAMPLES_LOG;
INPUT_SAMPLES_READ_LENGTH;
INPUT_FOR_METADATA}
// Create a log file of index <-> fastq-file correspondence
INPUT_SAMPLES_LOG.flatMap{ sample, index, fastq -> "${sample}\t${index}\t${fastq}" }
.collectFile(name: 'correspondence.txt', newLine: true)
.set{INPUT_SAMPLES_LOG_FILES}
// Move the above correspondence file to an output folder via a process
process write_fastq_correspondence{
executor 'local'
publishDir get_publishdir("stats"), mode: 'move'
input:
file(correspondence) from INPUT_SAMPLES_LOG_FILES
output:
file("index_fastq_correspondence.txt")
"""
cat ${correspondence} > index_fastq_correspondence.txt
"""
}
////////////////////////////////////////////////////////////////////////////////
////// Check File Existence ////////////////////////////////////////////////////
boolean file_exists(file_path) {
this_file = file(file_path)
assert this_file.exists()
return true
}
boolean hisat2_ref_exists(hisat2_ref) {
Channel.from( ["1.ht2", "2.ht2", "3.ht2","4.ht2","5.ht2","6.ht2", "7.ht2", "8.ht2"])
.map{ this_suffix -> file_exists( "${hisat2_ref}.${this_suffix}".replaceAll('\\*', "") ) }
return true
}
boolean bt2_ref_exists(bt2_ref) {
Channel.from( ["1.bt2", "2.bt2", "3.bt2","4.bt2","rev.1.bt2","rev.2.bt2"])
.map{ this_suffix -> file_exists( "${bt2_ref}.${this_suffix}".replaceAll('\\*', "") ) }
return true
}
if(params.do_check_file_existence){
// Make Sure Fastq Files Exist
INPUT_SAMPLES_EXISTENCE.map{ sample, index, this_file -> file_exists(this_file) }
// Make Sure bt2 and hisat reference files exist.
bt2_ref_exists( params.input.reference.filter )
bt2_ref_exists( params.input.reference.transcriptome )
if( params.input.reference.get("genome", false) ){
hisat2_ref_exists( params.input.reference.genome )
}
if( params.input.reference.get("post_genome", false) ){
bt2_ref_exists( params.input.reference.post_genome )
}
file_exists(params.input.reference.regions)
file_exists(params.input.reference.transcript_lengths)
root_meta_file = params.input.get("root_meta", false)
if( root_meta_file ){
file_exists(root_meta_file)
}
}
////// Check File Existence ////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////
//////////////////////// P R O C E S S E S /////////////////////////////
////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
/* RAW_FASTQC */
process raw_fastqc{
publishDir get_publishdir("fastqc")+"/raw", mode: 'copy'
input:
set val(sample), val(index), file(fastq) from INPUT_SAMPLES_FASTQC
output:
set val(sample), file("${sample}.${index}_fastqc.html"),
file("${sample}.${index}_fastqc.zip") into RAW_FASTQC_OUT
when:
params.do_fastqc
"""
if [ ! -f ${sample}.${index}.fastq.gz ]; then
ln -s $fastq ${sample}.${index}.fastq.gz
fi
fastqc ${sample}.${index}.fastq.gz --outdir=\$PWD -t ${task.cpus}
"""
}
// RAW_FASTQC
///////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
/* CLIP */
process clip{
storeDir get_storedir("clip")
input:
set val(sample), val(index), file(fastq) from INPUT_SAMPLES_CLIP
output:
set val(sample), val(index), file("${sample}.${index}.clipped.fastq.gz") into CLIP_OUT
set val(sample), val(index), file("${sample}.${index}.clipped.log") into CLIP_LOG
"""
cutadapt --cores=${task.cpus} ${params.clip_arguments} ${fastq} 2>${sample}.${index}.clipped.log \
| gzip -c > ${sample}.${index}.clipped.fastq.gz
"""
}
// CLIP
///////////////////////////////////////////////////////////////////////////////////////
CLIP_OUT.into{ CLIP_OUT_FASTQC; CLIP_OUT_FILTER ; CLIP_OUT_READ_LENGTH}
///////////////////////////////////////////////////////////////////////////////////////
/* CLIPPED FASTQC */
process clipped_fastqc{
publishDir get_publishdir("fastqc") + "/clipped", mode: 'copy'
input:
set val(sample), val(index), file(fastq) from CLIP_OUT_FASTQC
output:
set val(sample), file("${sample}.${index}.clipped_fastqc.html"),
file("${sample}.${index}.clipped_fastqc.zip") into CLIPPED_FASTQC_OUT
when:
params.do_fastqc
"""
if [ ! -f ${sample}.${index}.clipped.fastq.gz ]; then
ln -s $fastq ${sample}.${index}.clipped.fastq.gz
fi
fastqc ${sample}.${index}.clipped.fastq.gz --outdir=\$PWD -t ${task.cpus}
"""
}
// CLIPPED FASTQC
///////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
/* FILTER */
// Reads are mapped against (typically) rRNA, tRNA, adapter sequneces and etc
// that have no use for downstream analysis
// So we take the UNaligned reads from this process and use it for downstream processing
FILTER_INDEX = Channel.from([[
params.input.reference.filter
.split('/')[-1]
.replaceAll('\\*$', "")
.replaceAll('\\.$', ""),
file(params.input.reference.filter),
]])
process filter{
storeDir get_storedir("filter")
input:
set val(sample), val(index), file(fastq) from CLIP_OUT_FILTER
set val(bowtie2_index_base), file(bowtie2_index_files) from FILTER_INDEX.first()
output:
set val(sample), val(index), file("${sample}.${index}.filter.bam") \
into FILTER_BAM
set val(sample), val(index), file("${sample}.${index}.filter.bam.bai") \
into FILTER_BAI
set val(sample), val(index), file("${sample}.${index}.aligned.filter.fastq.gz") \
into FILTER_ALIGNED
set val(sample), val(index), file("${sample}.${index}.unaligned.filter.fastq.gz") \
into FILTER_UNALIGNED
set val(sample), val(index), file("${sample}.${index}.filter.log") \
into FILTER_LOG
set val(sample), val(index), file("${sample}.${index}.filter.stats") \
into FILTER_STATS
"""
bowtie2 ${params.alignment_arguments.filter} \
-x ${bowtie2_index_base} -q ${fastq} \
--threads ${task.cpus} \
--al-gz ${sample}.${index}.aligned.filter.fastq.gz \
--un-gz ${sample}.${index}.unaligned.filter.fastq.gz \
2> ${sample}.${index}.filter.log \
| samtools view -bS - \
| samtools sort -@ ${task.cpus} -o ${sample}.${index}.filter.bam \
&& samtools index -@ {task.cpus} ${sample}.${index}.filter.bam \
&& samtools idxstats -@ {task.cpus} ${sample}.${index}.filter.bam > \
${sample}.${index}.filter.stats
"""
}
FILTER_ALIGNED.into{FILTER_ALIGNED_FASTQ_READ_LENGTH;
FILTER_ALIGNED_FASTQ_FASTQC}
FILTER_UNALIGNED.into{FILTER_UNALIGNED_FASTQ_READ_LENGTH;
FILTER_UNALIGNED_FASTQ_FASTQC;
FILTER_UNALIGNED_TRANSCRIPTOME}
// FILTER
///////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
/* TRANSCRIPTOME ALIGNMENT */
TRANSCRIPTOME_INDEX = Channel.from([[
params.input.reference.transcriptome
.split('/')[-1]
.replaceAll('\\*$', "")
.replaceAll('\\.$', ""),
file(params.input.reference.transcriptome),
]])
process transcriptome_alignment{
storeDir get_storedir("transcriptome_alignment") + "/" + params.output.individual_lane_directory
input:
set val(sample), val(index), file(fastq) from FILTER_UNALIGNED_TRANSCRIPTOME
set val(transcriptome_reference), file(transcriptome_Reference_files) \
from TRANSCRIPTOME_INDEX.first()
output:
set val(sample), val(index), file("${sample}.${index}.transcriptome_alignment.bam") \
into TRANSCRIPTOME_ALIGNMENT_BAM_PRE
set val(sample), val(index), file("${sample}.${index}.transcriptome_alignment.bam.bai") \
into TRANSCRIPTOME_ALIGNMENT_BAI
set val(sample), val(index), file("${sample}.${index}.aligned.transcriptome_alignment.fastq.gz") \
into TRANSCRIPTOME_ALIGNMENT_ALIGNED
set val(sample), val(index), file("${sample}.${index}.unaligned.transcriptome_alignment.fastq.gz") \
into TRANSCRIPTOME_ALIGNMENT_UNALIGNED
set val(sample), val(index), file("${sample}.${index}.transcriptome_alignment.log") \
into TRANSCRIPTOME_ALIGNMENT_LOG
set val(sample), val(index), file("${sample}.${index}.transcriptome_alignment.stats") \
into TRANSCRIPTOME_ALIGNMENT_STATS
"""
bowtie2 ${params.alignment_arguments.transcriptome} \
-x ${transcriptome_reference} -q ${fastq} \
--threads ${task.cpus} \
--al-gz ${sample}.${index}.aligned.transcriptome_alignment.fastq.gz \
--un-gz ${sample}.${index}.unaligned.transcriptome_alignment.fastq.gz \
2> ${sample}.${index}.transcriptome_alignment.log \
| samtools view -bS - \
| samtools sort -@ ${task.cpus} -o ${sample}.${index}.transcriptome_alignment.bam \
&& samtools index -@ {task.cpus} ${sample}.${index}.transcriptome_alignment.bam \
&& samtools idxstats -@ {task.cpus} ${sample}.${index}.transcriptome_alignment.bam > \
${sample}.${index}.transcriptome_alignment.stats
"""
}
// TRANSCRIPTOME ALIGNMENT
///////////////////////////////////////////////////////////////////////////////////////
TRANSCRIPTOME_ALIGNMENT_BAM_PRE.into{ TRANSCRIPTOME_ALIGNMENT_BAM;
TRANSCRIPTOME_ALIGNMENT_BAM_MERGE;
TRANSCRIPTOME_ALIGNMENT_BAM_FOR_QUALITY}
///////////////////////////////////////////////////////////////////////////////////////
/* QUALITY FILTER */
process quality_filter{
storeDir get_storedir("quality_filter")
input:
set val(sample), val(index), file(bam) from TRANSCRIPTOME_ALIGNMENT_BAM_FOR_QUALITY
output:
set val(sample), val(index), file("${sample}.${index}.transcriptome_alignment.qpass.bam") \
into TRANSCRIPTOME_ALIGNMENT_QPASS_BAM_PRE
set val(sample), val(index), file("${sample}.${index}.transcriptome_alignment.qpass.bam.bai") \
into TRANSCRIPTOME_ALIGNMENT_QPASS_BAI
set val(sample), val(index), file("${sample}.${index}.qpass.count") \
into TRANSCRIPTOME_QPASS_COUNTS
set val(sample), val(index), file("${sample}.${index}.transcriptome_alignment.qpass.stats") \
into TRANSCRIPTOME_ALIGNMENT_QPASS_STATS
"""
samtools view -b -q ${params.mapping_quality_cutoff} ${bam}\
| samtools sort -@ ${task.cpus} -o ${sample}.${index}.transcriptome_alignment.qpass.bam \
&& samtools view -b -c ${sample}.${index}.transcriptome_alignment.qpass.bam > ${sample}.${index}.qpass.count \
&& samtools index -@ {task.cpus} ${sample}.${index}.transcriptome_alignment.qpass.bam \
&& samtools idxstats -@ {task.cpus} ${sample}.${index}.transcriptome_alignment.qpass.bam > \
${sample}.${index}.transcriptome_alignment.qpass.stats
"""
}
TRANSCRIPTOME_ALIGNMENT_QPASS_BAM_PRE.into{ QPASS_BAM_READ_LENGTH;
TRANSCRIPTOME_ALIGNMENT_QPASS_BAM}
// QUALITY FILTER
///////////////////////////////////////////////////////////////////////////////////////
TRANSCRIPTOME_QPASS_COUNTS.into{TRANSCRIPTOME_QPASS_COUNTS_FOR_INDEX;
TRANSCRIPTOME_QPASS_COUNTS_FOR_TABLE}
// We need to copy output channels of transcriptome alignment
// for merging and variaous steps of downstream processing
TRANSCRIPTOME_ALIGNMENT_BAI.into{ TRANSCRIPTOME_ALIGNMENT_BAI_MERGE ;
TRANSCRIPTOME_ALIGNMENT_BAI_REGION_COUNT}
TRANSCRIPTOME_ALIGNMENT_ALIGNED.into{ TRANSCRIPTOME_ALIGNMENT_ALIGNED_MERGE ;
TRANSCRIPTOME_ALIGNMENT_ALIGNED_LENGTH ;
TRANSCRIPTOME_ALIGNMENT_ALIGNED_FASTQC }
TRANSCRIPTOME_ALIGNMENT_UNALIGNED.into{ TRANSCRIPTOME_ALIGNMENT_UNALIGNED_MERGE ;
TRANSCRIPTOME_ALIGNMENT_UNALIGNED_GENOME ;
TRANSCRIPTOME_ALIGNMENT_UNALIGNED_LENGTH ;
TRANSCRIPTOME_ALIGNMENT_UNALIGNED_FASTQC }
TRANSCRIPTOME_ALIGNMENT_LOG.into{ TRANSCRIPTOME_ALIGNMENT_LOG_MERGE ;
TRANSCRIPTOME_ALIGNMENT_LOG_TABLE }
TRANSCRIPTOME_ALIGNMENT_STATS.into{ TRANSCRIPTOME_ALIGNMENT_STATS_MERGE ;
TRANSCRIPTOME_ALIGNMENT_STATS_TABLE }
///////////////////////////////////////////////////////////////////////////////////////
/* MERGE TRANSCRIPTOME ALIGNMENT */
TRANSCRIPTOME_ALIGNMENT_BAM_MERGE.map{sample, index, bam -> [sample, bam]}.groupTuple()
.set{ TRANSCRIPTOME_ALIGNMENT_GROUPED_BAM }
TRANSCRIPTOME_ALIGNMENT_ALIGNED_MERGE.map{sample, index, fastq -> [sample, fastq]}.groupTuple()
.set{ TRANSCRIPTOME_ALIGNMENT_GROUPED_ALIGNED }
TRANSCRIPTOME_ALIGNMENT_UNALIGNED_MERGE.map{sample, index, fastq -> [sample, fastq]}.groupTuple()
.set{ TRANSCRIPTOME_ALIGNMENT_GROUPED_UNALIGNED }
TRANSCRIPTOME_ALIGNMENT_LOG_MERGE.map{sample, index, log -> [sample, log]}.groupTuple()
.set{ TRANSCRIPTOME_ALIGNMENT_GROUPED_LOG }
TRANSCRIPTOME_ALIGNMENT_GROUPED_BAM.join(TRANSCRIPTOME_ALIGNMENT_GROUPED_ALIGNED)
.join(TRANSCRIPTOME_ALIGNMENT_GROUPED_UNALIGNED)
.join(TRANSCRIPTOME_ALIGNMENT_GROUPED_LOG)
.into{TRANSCRIPTOME_ALIGNMENT_GROUPED_JOINT;
TRANSCRIPTOME_ALIGNMENT_GROUPED_JOINED_VERBOSE}
process merge_transcriptome_alignment{
storeDir get_storedir("transcriptome_alignment") + "/" + params.output.merged_lane_directory
input:
set val(sample), file(bam), file(aligned_fastq),
file(unaligned_fastq), file(alignment_log) from\
TRANSCRIPTOME_ALIGNMENT_GROUPED_JOINT
output:
set val(sample), file("${sample}.transcriptome.bam") into \
TRANSCRIPTOME_ALIGNMENT_MERGED_BAM
set val(sample), file("${sample}.transcriptome.bam.bai") into \
TRANSCRIPTOME_ALIGNMENT_MERGED_BAI
set val(sample), file("${sample}.transcriptome.aligned.fastq.gz") into \
TRANSCRIPTOME_ALIGNMENT_MERGED_ALIGNED
set val(sample), file("${sample}.transcriptome.unaligned.fastq.gz") into \
TRANSCRIPTOME_ALIGNMENT_MERGED_UNALIGNED
set val(sample), file("${sample}.transcriptome.log") into \
TRANSCRIPTOME_ALIGNMENT_MERGED_LOG
"""
samtools merge ${sample}.transcriptome.bam ${bam} && \
samtools index ${sample}.transcriptome.bam && \
zcat ${aligned_fastq} | gzip -c > ${sample}.transcriptome.aligned.fastq.gz && \
zcat ${unaligned_fastq} | gzip -c > ${sample}.transcriptome.unaligned.fastq.gz && \
rfc merge bowtie2-logs --out ${sample}.transcriptome.log ${alignment_log}
"""
}
// MERGE TRANSCRIPTOME ALIGNMENT
///////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
/* TRANSCRIPTOME INDIVIDUAL FASTQC */
process transcriptome_aligned_individual_fastqc{
publishDir get_publishdir("fastqc") + "/transcriptome_aligned", mode: 'copy'
input:
set val(sample), val(index), file(fastq) from TRANSCRIPTOME_ALIGNMENT_ALIGNED_FASTQC
output:
set val(sample), file("${sample}.${index}.transcriptome.aligned_fastqc.html"),
file("${sample}.${index}.transcriptome.aligned_fastqc.zip") \
into TRANSCRIPTOME_ALIGNED_INDIVIDUAL_FASTQC_OUT
when:
params.do_fastqc
"""
if [ ! -f ${sample}.${index}.transcriptome.aligned.fastq.gz ]; then
ln -s ${fastq} ${sample}.${index}.transcriptome.aligned.fastq.gz
fi
fastqc ${sample}.${index}.transcriptome.aligned.fastq.gz --outdir=\$PWD -t ${task.cpus}
"""
}
process transcriptome_unaligned_individual_fastqc{
publishDir get_publishdir("fastqc") + "/transcriptome_unaligned", mode: 'copy'
input:
set val(sample), val(index), file(fastq) from TRANSCRIPTOME_ALIGNMENT_UNALIGNED_FASTQC
output:
set val(sample), file("${sample}.${index}.transcriptome.unaligned_fastqc.html"),
file("${sample}.${index}.transcriptome.unaligned_fastqc.zip") \
into TRANSCRIPTOME_UNALIGNED_INDIVIDUAL_FASTQC_OUT
when:
params.do_fastqc
"""
if [ ! -f ${sample}.${index}.transcriptome.unaligned.fastq.gz ]; then
ln -s ${fastq} ${sample}.${index}.transcriptome.unaligned.fastq.gz
fi
fastqc ${sample}.${index}.transcriptome.unaligned.fastq.gz --outdir=\$PWD -t ${task.cpus}
"""
}
// TRANSCRIPTOME INDIVIDUAL FASTQC
///////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////
/* GENOME ALIGNMENT */
do_align_genome = params.input.reference.get("genome", false)
if(do_align_genome){
GENOME_INDEX = Channel.from([[
params.input.reference.genome
.split('/')[-1]
.replaceAll('\\*$', "")
.replaceAll('\\.$', ""),
file(params.input.reference.genome),
]])
process genome_alignment{
storeDir get_storedir("genome_alignment") + "/" + params.output.individual_lane_directory
input:
set val(sample), val(index), file(fastq) from TRANSCRIPTOME_ALIGNMENT_UNALIGNED_GENOME
set val(genome_base), file(genome_files) from GENOME_INDEX.first()
output:
set val(sample), val(index), file("${sample}.${index}.genome_alignment.bam") \
into GENOME_ALIGNMENT_BAM
set val(sample), val(index), file("${sample}.${index}.genome_alignment.bam.bai") \
into GENOME_ALIGNMENT_BAI
set val(sample), val(index), file("${sample}.${index}.genome_alignment.aligned.fastq.gz") \
into GENOME_ALIGNMENT_ALIGNED
set val(sample), val(index), file("${sample}.${index}.genome_alignment.unaligned.fastq.gz") \
into GENOME_ALIGNMENT_UNALIGNED
set val(sample), val(index), file("${sample}.${index}.genome_alignment.log") \
into GENOME_ALIGNMENT_LOG
set val(sample), val(index), file("${sample}.${index}.genome_alignment.csv") \
into GENOME_ALIGNMENT_CSV
"""
hisat2 ${params.alignment_arguments.genome} \
-x ${genome_base} -U ${fastq} \
-p ${task.cpus} \
--al-gz ${sample}.${index}.genome_alignment.aligned.fastq.gz \
--un-gz ${sample}.${index}.genome_alignment.unaligned.fastq.gz \
2> ${sample}.${index}.genome_alignment.log \
| samtools view -bS - \
| samtools sort -@ ${task.cpus} -o ${sample}.${index}.genome_alignment.bam \
&& samtools index -@ {task.cpus} ${sample}.${index}.genome_alignment.bam \
&& rfc bt2-log-to-csv -o ${sample}.${index}.genome_alignment.csv \
-n ${sample} -p genome -l ${sample}.${index}.genome_alignment.log
"""
}
GENOME_ALIGNMENT_ALIGNED.into{ GENOME_ALIGNMENT_ALIGNED_FASTQ_READ_LENGTH;
GENOME_ALIGNMENT_ALIGNED_MERGE;
GENOME_ALIGNMENT_ALIGNED_FASTQ_FASTQC }
GENOME_ALIGNMENT_UNALIGNED.into{ GENOME_ALIGNMENT_UNALIGNED_FASTQ_READ_LENGTH;
GENOME_ALIGNMENT_UNALIGNED_MERGE;
GENOME_ALIGNMENT_UNALIGNED_FASTQ_FASTQC;
FOR_POST_GENOME }
// GENOME ALIGNMENT
///////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
/* MERGE GENOME ALIGNMENT */
GENOME_ALIGNMENT_LOG.into{ GENOME_ALIGNMENT_LOG_MERGE; GENOME_ALIGNMENT_LOG_TABLE }
GENOME_ALIGNMENT_LOG_TABLE
.map{ sample, index, genome_log -> [ [sample, index], genome_log ] }
.set{GENOME_ALIGNMENT_LOG_TABLE_INDEXED}
GENOME_ALIGNMENT_BAM.map{sample, index, bam -> [sample, bam]}.groupTuple()
.set{ GENOME_ALIGNMENT_GROUPED_BAM }
GENOME_ALIGNMENT_ALIGNED_MERGE.map{sample, index, fastq -> [sample, fastq]}.groupTuple()
.set{ GENOME_ALIGNMENT_GROUPED_ALIGNED_FASTQ }
GENOME_ALIGNMENT_UNALIGNED_MERGE.map{sample, index, fastq -> [sample, fastq]}.groupTuple()
.set{ GENOME_ALIGNMENT_GROUPED_UNALIGNED_FASTQ }
GENOME_ALIGNMENT_LOG_MERGE.map{sample, index, log -> [sample, log]}.groupTuple()
.set{ GENOME_ALIGNMENT_GROUPED_LOG }
GENOME_ALIGNMENT_GROUPED_BAM.join( GENOME_ALIGNMENT_GROUPED_ALIGNED_FASTQ )
.join(GENOME_ALIGNMENT_GROUPED_UNALIGNED_FASTQ)
.join(GENOME_ALIGNMENT_GROUPED_LOG)
.set{ GENOME_ALIGNMENT_GROUPED_JOINT }
process merge_genome_alignment{
storeDir get_storedir("genome_alignment") + "/" + params.output.merged_lane_directory
input:
set val(sample), file(bam), file(aligned_fastq), \
file(unaligned_fastq), file(alignment_log) from GENOME_ALIGNMENT_GROUPED_JOINT
output:
set val(sample), file("${sample}.genome.bam") \
into GENOME_ALIGNMENT_MERGED_BAM
set val(sample), file("${sample}.genome.bam.bai") \
into GENOME_ALIGNMENT_MERGED_BAI
set val(sample), file("${sample}.genome.aligned.fastq.gz") \
into GENOME_ALIGNMENT_MERGED_ALIGNED_FASTQ
set val(sample), file("${sample}.genome.unaligned.fastq.gz") \
into GENOME_ALIGNMENT_MERGED_UNALIGNED_FASTQ
set val(sample), file("${sample}.genome.log") \
into GENOME_ALIGNMENT_MERGED_LOG
set val(sample), file("${sample}.genome.csv") \
into GENOME_ALIGNMENT_MERGED_CSV
"""
samtools merge ${sample}.genome.bam ${bam} && samtools index ${sample}.genome.bam && \
zcat ${aligned_fastq} | gzip -c > ${sample}.genome.aligned.fastq.gz && \
zcat ${unaligned_fastq} | gzip -c > ${sample}.genome.unaligned.fastq.gz && \
rfc merge bowtie2-logs -o ${sample}.genome.log ${alignment_log} && \
rfc bt2-log-to-csv -n ${sample} -l ${sample}.genome.log -p genome \
-o ${sample}.genome.csv
"""
}
GENOME_ALIGNMENT_CSV
.map{ sample, index, stats_file -> stats_file }
.toSortedList().set{GENOME_ALIGNMENT_CSV_INDIVIDUAL_LIST}
GENOME_ALIGNMENT_MERGED_CSV
.map{ sample, stats_file -> stats_file }
.toSortedList().set{GENOME_ALIGNMENT_CSV_MERGED_LIST}
process combine_individual_genome_stats{
storeDir get_storedir("genome_alignment") + "/logs"
input:
file(stats_input_files) from GENOME_ALIGNMENT_CSV_INDIVIDUAL_LIST
file(stats_input_files_merged) from GENOME_ALIGNMENT_CSV_MERGED_LIST
output:
file("genome_individual_stats.csv") \
into GENOME_ALIGNMENT_CSV_INDIVIDUAL_COMBINED
file("genome_merged_stats.csv") \
into GENOME_ALIGNMENT_CSV_MERGED_COMBINED
"""
rfc merge overall-stats -o genome_individual_stats.csv ${stats_input_files} ; \
rfc merge overall-stats -o genome_merged_stats.csv ${stats_input_files_merged}
"""
}
// MERGE GENOME ALIGNMENT
///////////////////////////////////////////////////////////////////////////////
} // end of if(do_align_genome){
// END OF GENOME ALIGNMENT
///////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
/* BAM TO BED */
/*
We assume that duplicates are coming from PCR. So for each sample,
we merge the sequencing lanes ,
Add a sample.index column to the bed file.
sort the entire bed file by the first 3 columns ( sort -k1,1 -k2,2n -k3,3n )
Then we can deduplicate the entire file
Then separate the file based on the additional column that we added
*/
process bam_to_bed{
storeDir get_storedir("bam_to_bed") + "/" + params.output.individual_lane_directory
input:
set val(sample), val(index), file(bam) from TRANSCRIPTOME_ALIGNMENT_QPASS_BAM
output:
set val(sample), val(index), file("${sample}.${index}.bed") into BAM_TO_BED
set val(sample), val(index), file("${sample}.${index}_nodedup_count.txt") \
into INDIVIDUAL_DEDUP_COUNT_WITHOUT_DEDUP
"""
if [ `samtools view -c ${bam}` -eq 0 ];
then
touch ${sample}.${index}.bed
else
bamToBed -i ${bam} > ${sample}.${index}.bed
fi
wc -l ${sample}.${index}.bed > ${sample}.${index}_nodedup_count.txt
"""
}
BAM_TO_BED.into{ BED_NODEDUP; BED_FOR_DEDUP; BED_FOR_INDEX_SEP_PRE }
process add_sample_index_col_to_bed{
storeDir get_storedir("bam_to_bed") + "/" + params.output.individual_lane_directory
input:
set val(sample), val(index), file(bed) from BED_FOR_DEDUP
output:
set val(sample), file("${sample}.${index}.with_sample_index.bed")\
into BED_FOR_DEDUP_INDEX_COL_ADDED
"""
awk -v newcol=${sample}.${index} '{print(\$0"\\t"newcol)}' ${bed}\
> ${sample}.${index}.with_sample_index.bed
"""
}
BED_FOR_DEDUP_INDEX_COL_ADDED.groupTuple()
.set{ BED_FOR_DEDUP_INDEX_COL_ADDED_GROUPED }
process merge_bed{
storeDir get_storedir("bam_to_bed") + "/" + params.output.merged_lane_directory
input:
set val(sample), file(bed_files) from BED_FOR_DEDUP_INDEX_COL_ADDED_GROUPED
output:
set val(sample), file("${sample}.merged.pre_dedup.bed") \
into MERGE_BED_OUT
"""
cat ${bed_files} | sort -k1,1 -k2,2n -k3,3n > ${sample}.merged.pre_dedup.bed
"""
}
MERGE_BED_OUT.into{BED_FOR_DEDUP_MERGED_PRE_DEDUP;
MERGED_BED_FOR_RIBO}
process deduplicate{
storeDir get_storedir("alignment_ribo") + "/" + params.output.merged_lane_directory
input:
set val(sample), file(bed) from BED_FOR_DEDUP_MERGED_PRE_DEDUP
output:
set val(sample), file("${sample}.merged.post_dedup.bed") \
into BED_FOR_DEDUP_MERGED_POST_DEDUP
when:
params.get("deduplicate", false)
"""
rfc dedup -i ${bed} -o ${sample}.merged.post_dedup.bed
"""
}
BED_FOR_DEDUP_MERGED_POST_DEDUP.into{BED_FOR_DEDUP_MERGED_POST_DEDUP_FOR_SEP;
BED_FOR_DEDUP_MERGED_POST_DEDUP_FOR_RIBO}
BED_FOR_INDEX_SEP_PRE.map{ sample,index,file -> [sample, index] }
.combine(BED_FOR_DEDUP_MERGED_POST_DEDUP_FOR_SEP, by:0)
.set{ BED_FOR_INDEX_SEP_POST_DEDUP }
process separate_bed_post_dedup{
storeDir get_storedir("alignment_ribo") + "/" + params.output.individual_lane_directory
input:
set val(sample), val(index), file(bed) from BED_FOR_INDEX_SEP_POST_DEDUP
output:
set val(sample), val(index), file("${sample}.${index}.post_dedup.bed") \
into BED_DEDUPLICATED
set val(sample), val(index), file("${sample}.${index}.count_after_dedup.txt")\
into INDIVIDUAL_DEDUP_COUNT_WITH_DEDUP
when:
params.deduplicate
"""
awk -v this_sample=${sample}.${index} \
'{ if(\$7 == this_sample ){print(\$1"\\t"\$2"\\t"\$3"\\t"\$4"\\t"\$5"\\t"\$6)} }' ${bed} \
> ${sample}.${index}.post_dedup.bed \
&& wc -l ${sample}.${index}.post_dedup.bed > ${sample}.${index}.count_after_dedup.txt
"""
}
if(params.get("deduplicate", false)){
BED_FOR_DEDUP_MERGED_POST_DEDUP_FOR_RIBO
.into{BED_FOR_SEPARATION; BED_FOR_RIBO; BED_FOR_RIBO_VERBOSE}
INDIVIDUAL_DEDUP_COUNT_WITH_DEDUP
.set{INDIVIDUAL_DEDUP_COUNT}
}
else{
MERGED_BED_FOR_RIBO
.into{BED_FOR_SEPARATION; BED_FOR_RIBO; BED_FOR_RIBO_VERBOSE}
INDIVIDUAL_DEDUP_COUNT_WITHOUT_DEDUP
.set{INDIVIDUAL_DEDUP_COUNT}
}
///////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
/* INDIVIDUAL ALIGNMENT STATS TABLE */
// We need to group the log files by sample name and index
// than flatten that list and group again so that each
// entry can be emmited in groups of 6 for each task
CLIP_LOG.map{ sample, index, clip_log -> [ [sample, index], clip_log ] }
.set{CLIP_LOG_INDEXED}
FILTER_LOG.map{ sample, index, filter_log -> [ [sample, index], filter_log ] }
.set{FILTER_LOG_INDEXED}
TRANSCRIPTOME_ALIGNMENT_LOG_TABLE
.map{ sample, index, transcriptome_log -> [ [sample, index], transcriptome_log ] }
.set{TRANSCRIPTOME_ALIGNMENT_LOG_TABLE_INDEXED}
TRANSCRIPTOME_QPASS_COUNTS_FOR_INDEX
.map{ sample, index, qpass_count -> [ [sample, index], qpass_count ] }
.set{TRANSCRIPTOME_QPASS_COUNTS_INDEXED}
INDIVIDUAL_DEDUP_COUNT
.map{ sample, index, dedup_count -> [ [sample, index], dedup_count ] }
.set{ INDIVIDUAL_DEDUP_COUNT_INDEXED }
CLIP_LOG_INDEXED.join(FILTER_LOG_INDEXED)
.join(TRANSCRIPTOME_ALIGNMENT_LOG_TABLE_INDEXED)
.join(TRANSCRIPTOME_QPASS_COUNTS_INDEXED)
.join(INDIVIDUAL_DEDUP_COUNT_INDEXED)
.flatten()
.collate(7)
.set{ INDIVIDUAL_ALIGNMENT_STATS_INPUT }
process individual_alignment_stats{
/*
Compiles statistics coming from the individual steps:
cutadapt, filter, transcriptome and genome alignment,
quality filtering and deduplication
*/
executor 'local'
storeDir get_storedir("stats")
input:
set val(sample), val(index), file(clip_log), file(filter_log),\
file(transcriptome_log), file(qpass_count),\
file(dedup_count)\
from INDIVIDUAL_ALIGNMENT_STATS_INPUT
output:
set val(sample), val(index), file("${sample}.${index}.overall_alignment.csv") \
into INDIVIDUAL_ALIGNMENT_STATS
"""
rfc compile-step-stats \
-n ${sample}.${index} -c ${clip_log} \
-f ${filter_log} -t ${transcriptome_log} \
-q ${qpass_count} \
-d ${dedup_count} \
-o ${sample}.${index}.overall_alignment.csv
"""
}
// INDIVIDUAL ALIGNMENT STATS
///////////////////////////////////////////////////////////////////////////////////////
INDIVIDUAL_ALIGNMENT_STATS
.into{ INDIVIDUAL_ALIGNMENT_STATS_FOR_COLLECTION;
INDIVIDUAL_ALIGNMENT_STATS_FOR_GOUPING}
///////////////////////////////////////////////////////////////////////////////////////
/* COMBINE INDIVIDUAL ALIGNMENT STATS */
INDIVIDUAL_ALIGNMENT_STATS_FOR_COLLECTION
.map{ sample, index, stats_file -> stats_file }
.toSortedList().set{INDIVIDUAL_ALIGNMENT_STATS_COLLECTED}
process combine_individual_alignment_stats{
executor 'local'
storeDir get_storedir("stats")
input:
file(stat_table) from INDIVIDUAL_ALIGNMENT_STATS_COLLECTED
output:
file("essential_individual_stats.csv") \
into COMBINED_INDIVIDUAL_ALIGNMENT_STATS
"""
rfc merge overall-stats \
-o raw_combined_individual_aln_stats.csv \
${stat_table} && \
rfc stats-percentage \
-i raw_combined_individual_aln_stats.csv \
-o essential_individual_stats.csv
"""
}
// COMBINE INDIVIDUAL ALIGNMENT STATS
///////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////
/* SUM INDIVIDUAL ALIGNMENT STATS */
/*
For each sample, sums up the stats coming from individual lanes
*/
INDIVIDUAL_ALIGNMENT_STATS_FOR_GOUPING
.map{ sample, index, file -> [ sample, file ] }
.groupTuple()
.into{ INDIVIDUAL_ALIGNMENT_STATS_GROUPED ;
INDIVIDUAL_ALIGNMENT_STATS_GROUPED_VERBOSE }
process sum_individual_alignment_stats{
executor 'local'
storeDir get_storedir( "log/" + params.output.merged_lane_directory )
input:
set val(sample), file(stat_files) from INDIVIDUAL_ALIGNMENT_STATS_GROUPED
output:
set val(sample), file("${sample}.merged.alignment_stats.csv")\
into MERGED_ALIGNMENT_STATS
"""
rfc sum-stats -n ${sample}\
-o ${sample}.merged.alignment_stats.csv ${stat_files}
"""
}
// SUM INDIVIDUAL ALIGNMENT STATS
////////////////////////////////////////////////////////////////////////////////
MERGED_ALIGNMENT_STATS.map{ sample, stats_file -> stats_file }
.toSortedList()
.set{ MERGED_ALIGNMENT_STATS_COLLECTED }
////////////////////////////////////////////////////////////////////////////////
/* COMBINE MERGED ALIGNMENT STATS */
process combine_merged_alignment_stats{
storeDir get_storedir("stats")
executor 'local'
input:
file(stat_files) from MERGED_ALIGNMENT_STATS_COLLECTED
output:
file("essential_stats.csv") into COMBINED_MERGED_ALIGNMENT_STATS
"""
rfc merge overall-stats \
-o raw_combined_merged_aln_stats.csv \
${stat_files} && \
rfc stats-percentage \
-i raw_combined_merged_aln_stats.csv \
-o essential_stats.csv
"""
}
// COMBINE MERGED ALIGNMENT STATS
////////////////////////////////////////////////////////////////////////////////