Genomics guide

The Databricks Unified Analytics Platform for Genomics is a platform for unified analysis of large-scale genomics data created by augmenting all capabilities of the Databricks Unified Data Analytics Platform with features offered by Databricks Runtime for Genomics.

Important

Databricks is no longer adding new features to Databricks Runtime for Genomics, and the runtime will be deprecated on September 24, 2022. For more information about the Databricks Runtime deprecation policy and schedule, see Supported Databricks runtime releases and support schedule.

Databricks Runtime for Genomics offers two categories of features:

• The Databricks-Regeneron open-source project Glow. For information on Glow, see the Glow documentation. You can import all example notebooks in the Glow documentation into a Databricks workspace and run them on clusters that use Databricks Runtime for Genomics.

• Secondary and tertiary analysis features specific to Databricks Runtime for Genomics. For documentation on these features along with associated use cases and Databricks example notebooks, see:

  • Secondary analysis
    • DNASeq pipeline
    • RNASeq pipeline
    • Tumor/Normal pipeline
    • Variant annotation methods
  • Tertiary analysis
    • Joint genotyping pipeline

To learn about how to install and manage genomics libraries on Databricks, see:

• Bioinformatics libraries
  • Use ADAM in Databricks
  • Glow
  • GloWGR: Whole genome regression
  • Hail 0.2