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.

Note

Databricks Runtime for Genomics is deprecated. Databricks is no longer building new Databricks Runtime for Genomics releases and will remove support for Databricks Runtime for Genomics on September 24, 2022, when Databricks Runtime for Genomics 7.3 LTS support ends. At that point Databricks Runtime for Genomics will no longer be available for selection when you create a cluster. For more information about the Databricks Runtime deprecation policy and schedule, see Supported Databricks runtime releases and support schedule.

Databricks Runtime for Genomics (Deprecated) 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 how to install and manage genomics libraries on Databricks, see:

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