Genomics

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.

Databricks Runtime for Genomics offers two categories of features:

• Optimized versions of all features offered by the Databricks-Regeneron open-source project Glow. Databricks is the best platform to use Glow as it provides several optimizations and a seamless user experience. For information on features in 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.

• Many more 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
    • GloWGR: Whole genome regression
    • SAIGE and SAIGE-GENE (using Pipe Transformer)
    • Hail 0.2