This guide provides a step-by-step guide to 1) convert BAM files (i.e., public) to FASTQ; and 2) run the nextflow nf-core/sarek variant calling pipeline.
Create a Conda environment with tools needed for downstream analyze
Create a python 3.7 environment:
conda create --name liver python=3.7
Activate the conda environment:
conda activate liver
Prepare a file called environment.yml - Tip: use a text editor (i.e., vim, nano, or other) to copy and paste the code below into the file.
channels: - bioconda - conda-forge dependencies: - bedtools - samtools - seqkit - vcftools - emboss
Run the following command to install additional tools
conda env update --file environment.yml
To deactivate the conda environment, run:
conda deactivate
Convert BAM to FASTQ
Move to the folder where all the BAM files are present and prepare the following script (i.e., launch_BAM2FASTQ.pbs):
#!/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
done
Submit the job to the PBS scehduler:
qsub launch_BAM2FASTQ.pbs
Check the submited job(s):
qjobs