Difference between revisions of "Parabricks"
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+ | ==More Information== | ||
+ | === Parabricks on HiPerGator Tutorial === | ||
+ | * GitHub repository with code examples: [https://github.com/hw-ju/genomics_uf_tutorials https://github.com/hw-ju/genomics_uf_tutorials] |
Latest revision as of 17:01, 17 September 2024
Description
Parabricks is a software suite for genomic analysis. It delivers major improvements in throughput time for common analytical tasks in genomics, including germline and somatic analysis. The core of the Parabricks software is its data pipeline which takes raw data and transforms it according to the user's requirements.
Parabricks makes both GPU-accelerated pipelines and some standalone tools available.
Environment Modules
Run module spider parabricks
to find out what environment modules are available for this application.
System Variables
- HPC_PARABRICKS_DIR - installation directory
- HPC_PARABRICKS_BIN - executable directory
Additional Information
An example job resource request based on the Nvidia recommendation:
srun -p hpg-ai -N 1 --cpus-per-task=16 --gpus=a100:2 --mem=32gb --time=200:00 --pty bash -i
Prabricks requires 2 to 8 A100 GPUs to run. The '--num-gpus X' pbrun argument must match the number 'X' of requested GPUs. If not specified parabricks will try to run on all gpus on the compute node and exit with an error.
Note that a parabricks run may produce an error if the paths used as arguments for the run resolve to symlinks. Containerized tools need real paths i.e. use the /blue/mygroup/myuser/project/inputdir path instead of a shorter ~/blue/project/inputdir path that's using a symlink even if the ~/blue symlink is pointing to the /blue/mygroup/myuser/ directory./
Job Script Examples
Expand to view script sample.
#!/bin/bash #SBATCH --partition=hpg-ai # partition #SBATCH --time=4:00:00 # wall time #SBATCH --mem=64gb # all mem avail #SBATCH --mail-type=FAIL # only send email on failure #SBATCH --mail-user=your@email.com #SBATCH --ntasks=1 #SBATCH --cpus-per-task=8 #SBATCH --gpus=a100:2 # Number A100 GPUs, 2-8 #SBATCH --output=pb_%j.log date;hostname;pwd # Load the Parabricks environment module module load parabricks # Set data directories DATA_DIR="/blue/nvidia-parabricks/g.burnett/parabricks_sample" SAMPLE_1="${DATA_DIR}/Data/sample_1.fq.gz" SAMPLE_2="${DATA_DIR}/Data/sample_2.fq.gz" REF="${DATA_DIR}/Ref/Homo_sapiens_assembly38.fasta" OUTPUT_DIR="${DATA_DIR}" # Make the output directory mkdir -p ${OUTPUT_DIR} # Run germline pbrun germline \ --ref ${REF} \ --in-fq ${SAMPLE_1} ${SAMPLE_2} \ --out-bam ${OUTPUT_DIR}/germline.bam \ --out-variants ${OUTPUT_DIR}/germline.vcf |& tee ${OUTPUT_DIR}/germline.log
More Information
Parabricks on HiPerGator Tutorial
- GitHub repository with code examples: https://github.com/hw-ju/genomics_uf_tutorials