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main_uncomplete.nf
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main_uncomplete.nf
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#!/usr/bin/env nextflow
nextflow.enable.dsl=2
params.project = "EcoliRNASeq"
params.nbcpu = "8"
params.genome_name = "Ecoli_K12"
workflow {
// Initialise les channels
bio_conds = Channel.of([1,"WT_1"],[2,"WT_2"],[3,"MazF_1"],[4,"MazF_2"])
ftp_ebis = Channel.of([1,"005/ERR2686025/ERR2686025"], [2,"006/ERR2686026/ERR2686026"], [3,"007/ERR2686027/ERR2686027"], [4,"008/ERR2686028/ERR2686028"])
// channel combiné
bio_cond_ftp_ebis = bio_conds.cross(ftp_ebis)
bio_cond_ftp_ebis.view()
// Telechargement du genome et indexation
// Telecharger les reads
// Trim des adapters
// Mapping et convert to bam
// Comptage des reads sur chaque gene
// Final run avec multiqc
}
/*
* Download genome files
* We have now to download the genome file of Escherichis coli K-12. We download first the sequence (fasta file) and then the annotation (gff file).
*/
process DL_GENOME {
publishDir params.genome
output:
path "${params.genome_name}.fna", emit: genome_fna
path "${params.genome_name}.gtf", emit: genome_gtf
script:
"""
fna_file=${params.genome_name}.fna
gtf_file=${params.genome_name}.gtf
echo "Download fasta file" ${params.fna_ftp}
curl -o \${fna_file}.gz ${params.fna_ftp}
gunzip -d \${fna_file}.gz
echo "Download fasta file" ${params.gtf_ftp}
curl -o \${gtf_file}.gz ${params.gtf_ftp}
gunzip -d \${gtf_file}.gz
"""
}
process INDEX_GENOME {
publishDir params.genome
input:
path genome_fna
path genome_gtf
output:
tuple val(params.genome_name), path("${params.genome_name}.*.bt2")
script:
"""
bowtie2-build --threads $params.nbcpu ${genome_fna} ${params.genome_name}
"""
}
process DL_FASTQ {
publishDir params.rawdata
input:
tuple val(bio_cond), val(ftp_ebi)
output:
tuple path("${bio_cond[1]}_R1.fastq.gz"), path("${bio_cond[1]}_R2.fastq.gz")
script:
"""
data=${bio_cond[1]}_R1.fastq.gz
if [ ! -f \$data ]; then
wget -O \$data ${params.ebi_fq}${ftp_ebi[1]}_1.fastq.gz
fi
data=${bio_cond[1]}_R2.fastq.gz
if [ ! -f \$data ]; then
wget -O \$data ${params.ebi_fq}${ftp_ebi[1]}_2.fastq.gz
fi
"""
}
process CUTADAPT {
publishDir params.fastq
input:
val bio_cond
tuple path(data_R1), path(data_R2)
output:
tuple val(bio_cond), path("${bio_cond[1]}_R1.fastq"), path("${bio_cond[1]}_R2.fastq")
script:
"""
cutadapt -j $params.nbcpu -b $params.read1Adapt -B $params.read2Adapt -o ${bio_cond[1]}_R1.fastq \
-p ${bio_cond[1]}_R2.fastq ${data_R1} ${data_R2}
"""
}
process FASTQC {
publishDir params.fastqc
input:
tuple val(bio_cond), path(fastq_R1), path(fastq_R2)
output:
tuple path("${bio_cond[1]}_R1_fastqc*"), path("${bio_cond[1]}_R2_fastqc*")
script:
"""
fastqc -t $params.nbcpu ${fastq_R1} ${fastq_R2}
"""
}
process MAPPING {
publishDir params.mapping
input:
tuple val(index_path), path(genome_indexes)
tuple val(bio_cond), path(fastq_R1), path(fastq_R2)
output:
tuple val(bio_cond), path("${bio_cond[1]}.sam"), path("${bio_cond[1]}.log")
script:
"""
bowtie2 -p $params.nbcpu -x ${index_path} -1 ${fastq_R1} -2 ${fastq_R2} -S ${bio_cond[1]}.sam 2> ${bio_cond[1]}.log
"""
}
process SAM_TO_BAM {
publishDir params.mapping
input:
tuple val(bio_cond), path(sam_file), path(log_file)
output:
tuple path("${bio_cond[1]}.bam"), path("${bio_cond[1]}.bam.bai")
script:
"""
samtools view --threads $params.nbcpu -b -q 1 ${sam_file} > ${bio_cond[1]}_raw.bam
samtools sort --threads $params.nbcpu -o ${bio_cond[1]}.bam ${bio_cond[1]}_raw.bam
samtools index -@ $params.nbcpu ${bio_cond[1]}.bam
rm ${bio_cond[1]}_raw.bam
"""
}
process GENE_COUNT {
publishDir params.count
input:
tuple path(bam_file), path(bai_file)
path genome_gtf
output:
tuple path("${bam_file}.txt"), path("${bam_file}.txt.summary")
script:
"""
featureCounts -T $params.nbcpu -p -t "gene" -a ${genome_gtf} -o ${bam_file}.txt ${bam_file}
"""
}
process MULTIQC {
publishDir params.multiqc
input:
tuple path(fastqc_R1), path(fastqc_R2)
tuple path(gene_count), path(gene_count_summary)
script:
"""
multiqc --filename "MultiQC_${params.project}" ${projectDir}
"""
}