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

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:

Anvil

#!/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...

Bell, Gautschi, or Negishi

#!/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...

Gautschi-AI

#!/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...

Gilbreth

#!/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...

Scholar

#!/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...