This guide provides a step-by-step guide to 1) convert BAM files (i.e., public) to paired-end FASTQ files; and 2) run the nextflow nf-core/sarek variant calling pipeline.
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Conda installation: https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html
Code Block wget https://repo.anaconda.com/miniconda/Miniconda3-py37_22.11.1-1-Linux-x86_64.sh bash Miniconda3-py37_22.11.1-1-Linux-x86_64.sh
nextflow installation: Nextflow
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To install several tools, prepare a file called environment.yml (example below). Tip: use a text editor (i.e., vim, nano, or other) to copy and paste the code below into the file.
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Move to the folder where all the BAM files are present and prepare the following script (i.e.,launch_BAM2FASTQ.pbs):
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#!/bin/bash -l #PBS -N BAM2FASTQ #PBS -l walltime=24:00:00 #PBS -l mem=8gb #PBS -l ncpus=4 cd $PBS_O_WORKDIR #activate the conda environment with the necessary tools conda activate liver #Sort reads in BAM file by indentifier-name (-n) using 4 CPUs (-@ 4). Note 'prefix' for sorted file noted after $i (input BAM file) for i in `ls --color=never *.bam` do echo $i samtools sort -@ 4 -n $i ${i%%.bam}_sorted done #Extract paired end reads in FASTQ format for file in `ls --color=never *sorted.bam` do echo $file bedtools bamtofastq -i $file -fq ${file%%.bam}_R1.fastq -fq2 ${file%%.bam}_R2.fastq #compress FASTQ files to run using the sarek pipeline gzip -c -9 ${file%%.bam}_R1.fastq > ${file%%.bam}_R1.fastq.gz gzip -c -9 ${file%%.bam}_R1.fastq > ${file%%.bam}_R2.fastq.gz done |
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To run Sarek 3 files are required:
launch.pbs → details on how to run the workflow
~/.nextflow/config → specify how to run the workflow in the HPC
samplesheet.csv → provides information on the samples and data to be used (i.e., FASTQ, BAM or CRAM)
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PHASE I - preprocessing
Below is an example of a launch_phase1.pbs file for mapping onto the selected genome:
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singularity { cacheDir = '$HOME/NXF_SINGULARITY_CACHEDIR' autoMounts = true } conda { cacheDir = '$HOME/NXF_CONDA_CACHEDIR' } singularity { enabled = true autoMounts = true } process { executor = 'pbspro' beforeScript = { """ source $HOME/.bashrc source $HOME/.profile """ } scratch = false cleanup = false } |
Example of a samplesheet.csv file:
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patient,sample,lane,fastq_1,fastq_2 healthy_11,1,1,/path/to/data/1.Healthy/Healthy_Combined_11_sorted_R1.fastq.gz,/path/to/data/1.Healthy/Healthy_Combined_11_sorted_R2.fastq.gz |
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Prepare/edit the following launch_phase2.pbs script:
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#!/bin/bash -l #PBS -N sarek_II #PBS -l walltime=48:00:00 #PBS -l select=1:ncpus=1:mem=5gb cd $PBS_O_WORKDIR NXF_OPTS='-Xms1g -Xmx4g' module load java #run the sarek pipeline nextflow run nf-core/sarek \ -r 3.1.1 \ -profile singularity \ --genome GATK.GRCh38 \ --step variant_calling \ --tools haplotypecaller \ --wes \ -resume |
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Prepare/edit the following launch_phase3.pbs script:
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#!/bin/bash -l #PBS -N sarek_III #PBS -l walltime=48:00:00 #PBS -l select=1:ncpus=1:mem=5gb cd $PBS_O_WORKDIR NXF_OPTS='-Xms1g -Xmx4g' module load java #run the sarek pipeline nextflow run nf-core/sarek \ -r 3.1.1 \ -profile singularity \ --genome GATK.GRCh38 \ --step annotate \ --tools vep,snpeff \ --wes \ -resume |
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