Burrows-Wheeler Aligner (BWA) is an efficient program that aligns relatively short nucleotide sequences against a long reference sequence such as the human genome. It implements three algorithms, BWA-MEM (
mem), BWA-Backtrack (
aln) and BWA-SW (
bwasw). BWA-Backtrack works for query sequences shorter than 200bp. The other two algorithms are used longer reads up to around 100kbp. BWA-MEM is recommend for reads longer than 70 gb. All algorithms do gapped alignment.
BWA can be used to align both single-end and paired end reads to a reference genome or sequence set.
Free to use and open source under GNU GPLv3.
- Puhti: 0.7.17
- Chipster graphical user interface
In Puhti, BWA can be taken in use as part ofth the biokit module collection:
module load biokit
The biokit modules sets up a set of commonly used bioinformatics tools, including BWA. (Note however that there are bioinformatics tools in Puhti, that have a separate setup commands.)
The basic syntax of BWA commands is:
bwa <command> [options]
CSC does not maintain pre-compiled BWA indexes for reference genomes in Puhti, but you can check if genomes used in Chipster can provide you a ready made index for a genome you want use. This can be done with command:
If suitable genome index is not found the fist step in creating alignment with BWA is downloading the reference genome and indexing it. Please note that your $HOME directory is often too small for working with complete genomes. In stead you should do the analysis in scratch directory of your Puhti project ($SCRATCH).
You can use for example command
wget to download a reference genome to Puhti. For example
The command above retrieves the human genome sequence to a file called Homo_sapiens.GRCh38.dna.toplevel.fa. You can calculate the BWA indexes for this file with command:
bwa index -a bwtsw Homo_sapiens.GRCh38.dna.toplevel.fa
bwa index -a is)
Once the indexing is ready you can carry out the alignment for singe-end reads with command:
bwa mem Homo_sapiens.GRCh38.dna.toplevel.fa reads.fastq > aln.sam
First calculate the actual alignment:
bwa aln Homo_sapiens.GRCh38.dna.toplevel.fa reads.fastq > aln_sa.sai
bwa samse Homo_sapiens.GRCh38.dna.toplevel.fa aln_sa.sai reads.fastq > aln.sam
Paired end alignment
If you use the MEM algorithm you can do the paired-end alignment with just one command:
bwa mem Homo_sapiens.GRCh38.dna.toplevel.fa read1.fq read2.fq > aln.sam
bwa aln Homo_sapiens.GRCh38.dna.toplevel.fa reads1.fq > aln1.sai bwa aln Homo_sapiens.GRCh38.dna.toplevel.fa reads2.fq > aln2.sai
bwa sampe Homo_sapiens.GRCh38.dna.toplevel.fa aln1.sai aln2.sai reads1.fq reads2.fq > aln.sam
Running BWA batch jobs in Puhti
In Puhti, BWA jobs should be run as batch jobs. Below is a sample batch job file, for running a BWA job in Puhti:
#!/bin/bash #SBATCH --job-name=bwa #SBATCH --output=output_%j.txt #SBATCH --error=errors_%j.txt #SBATCH --time=12:00:00 #SBATCH --ntasks=1 #SBATCH --nodes=1 #SBATCH --cpus-per-task=8 #SBATCH --mem=32000 #SBATCH --account=your_project_name # #load the bio tools module load biokit # Index the reference genome bwa index -a bwtsw Homo_sapiens.GRCh38.dna.toplevel.fa # Run the alignnments bwa mem -t $SLURM_CPUS_PER_TASK Homo_sapiens.GRCh38.dna.toplevel.fa reads1.fq reads2.fq > aln.sam
In the batch job example above one BWA task (--ntasks 1) is executed. The BWA job uses 8 cores (--cpus-per-task=8 ) with total of 32 GB of memory (--mem=32000). The maximum duration of the job is twelve hours (--time 12:00:00 ). All the cores are assigned from one computing node (--nodes=1 ). In addition to the resource reservations, you have to define the billing project for your batch job. This is done by replacing
the your_project_name with the name of your project. (You can use command
csc-workspaces to see what projects you have in Puhti).
You can submit the batch job file to the batch job system with command:
More information about BWA can be found from: