DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
DeepVariant-on-Spark is a germline short variant calling pipeline that runs Google DeepVariant on Apache Spark at scale.
Scalable and High Performance Variant Calling on Cluster Environments
Joint variant calling with GATK4 HaplotypeCaller, Google DeepVariant 1.0.0 and Strelka2, coordinated via Snakemake.
A Snakemake workflow for variant calling with DeepVariant, and optionally joint variant calling using GLnexus.
Notebooks and examples for DeepVariant on Spark project.
Workflows for whole-genome/exome sequencing data analysis
A small repo that eases use of google's deepvariant with GWA metastudies about hypertension
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