.. _backbone-label: Deepvariant ============================== Introduction ~~~~~~~~ DeepVariant is a deep learning-based variant caller that takes aligned reads (in BAM or CRAM format), produces pileup image tensors from them, classifies each tensor using a convolutional neural network, and finally reports the results in a standard VCF or gVCF file. | For more information, please check: | Home page: https://github.com/google/deepvariant .. note:: Please follow the recommended citation guidelines from the developers when you use the tool in research. Versions ~~~~~~~ .. list-table:: :width: 100 % :widths: 25 75 :header-rows: 1 * - Cluster - Version(s) * - ANVIL - 1.0.0, 1.1.0 * - BELL - 1.0.0, 1.1.0 * - GAUTSCHI - 1.0.0, 1.1.0 * - NEGISHI - 1.0.0, 1.1.0 * - SCHOLAR - 1.0.0, 1.1.0 Commands ~~~~~~~ - call_variants - get-pip.py - make_examples - model_eval - model_train - postprocess_variants - run-prereq.sh - run_deepvariant - run_deepvariant.py - settings.sh - show_examples - vcf_stats_report Module ~~~~~~~~ You can load the modules by:: module load biocontainers module load deepvariant Example job ~~~~~ .. warning:: Using ``#!/bin/sh -l`` as shebang in the slurm job script will cause the failure of some biocontainer modules. Please use ``#!/bin/bash`` instead. To run deepvariant on our clusters: .. tab-set:: .. tab-item:: Anvil .. code-block:: bash #!/bin/bash #SBATCH -A myallocation # Allocation name #SBATCH -p wholenode # Partition name #SBATCH -t 1:00:00 #SBATCH -N 1 #SBATCH -n 1 #SBATCH --job-name=deepvariant #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers deepvariant # Your deepvariant workflow... .. tab-item:: Bell, Gautschi, or Negishi .. code-block:: bash #!/bin/bash #SBATCH -A mygroup # Group name #SBATCH -p cpu # Partition name #SBATCH -q normal # QOS name (optional) #SBATCH -t 1:00:00 #SBATCH -N 1 #SBATCH -n 1 #SBATCH --job-name=deepvariant #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers deepvariant # Your deepvariant workflow... .. tab-item:: Gautschi-AI .. code-block:: bash #!/bin/bash #SBATCH -A mygroup # Group name #SBATCH -p ai # Partition name #SBATCH --gres=gpu:1 # Number of GPUs #SBATCH -q normal # QOS name (optional) #SBATCH -t 1:00:00 #SBATCH -N 1 #SBATCH -n 1 #SBATCH --job-name=deepvariant #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers deepvariant # Your deepvariant workflow... .. tab-item:: Gilbreth .. code-block:: bash #!/bin/bash #SBATCH -A mygroup # Group name #SBATCH -p a100 # Partition name #SBATCH --gres=gpu:1 # Number of GPUs #SBATCH --mem=2G # Memory #SBATCH -q normal # QOS name (optional) #SBATCH -t 1:00:00 #SBATCH -N 1 #SBATCH -n 1 #SBATCH --job-name=deepvariant #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers deepvariant # Your deepvariant workflow... .. tab-item:: Scholar .. code-block:: bash #!/bin/bash #SBATCH -A queue # Queue name #SBATCH -t 1:00:00 #SBATCH -N 1 #SBATCH -n 1 #SBATCH --job-name=deepvariant #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers deepvariant # Your deepvariant workflow...