Databricks Runtime for Genomics

Databricks Runtime for Genomics (Databricks Runtime Genomics) is a version of Databricks Runtime optimized for working with genomic and biomedical data. It is a component of the Databricks Unified Analytics Platform for Genomics. For more information on developing genomics applications, see Genomics.

Databricks Runtime for Genomics is generally available (GA) beginning with version 6.0.

What’s in Databricks Runtime for Genomics?

• An optimized version of the Databricks-Regeneron open-source library Glow with all its functionalities as well as:
  • Spark SQL support for reading and writing variant data
  • Functions for common workflow elements
  • Optimizations for common query patterns
• Turn-key pipelines parallelized with Apache Spark:
  • DNASeq
  • RNASeq
  • Tumor Normal Sequencing (TNSeq)
  • Joint Genotyping
  • SnpeEff variant annotation
• Hail 0.2 integration
• Popular open source libraries, optimized for performance and reliability:
  • ADAM
  • GATK
  • Hadoop-bam
• Popular command line tools:
  • samtools
• Reference data (grch37 or 38, known SNP sites)

See the Databricks Runtime for Genomics release notes for a complete list of included libraries and versions.

Requirements

Your Databricks workspace must have Databricks Runtime for Genomics enabled.

Create a cluster using Databricks Runtime for Genomics

When you create a cluster, select a Databricks Runtime for Genomics version from the Databricks Runtime Version drop-down.