Databricks released this image in November 2020.
Databricks Runtime 7.4 for Genomics is a version of Databricks Runtime 7.4 (Unsupported) optimized for working with genomic and biomedical data. It is a component of the Databricks Unified Analytics Platform for Genomics.
This documentation has been retired and might not be updated. The product, service, or technology mentioned in this content is no longer supported.
The Databricks Genomics runtime has been deprecated. For open source equivalents, see repos for genomics-pipelines and Glow. Bioinformatics libraries that were part of the runtime have been released as a Docker container, which can be pulled from the ProjectGlow Dockerhub page.
For more information about the Databricks Runtime deprecation policy and schedule, see Supported Databricks runtime releases and support schedule.
Databricks Runtime 7.4 for Genomics is built on top of Databricks Runtime 7.4. For information on what’s new in Databricks Runtime 7.4, see the Databricks Runtime 7.4 (Unsupported) release notes.
GloWGR can now fit whole genome regression models for binary traits.
function now accepts an
offset parameter. This parameter is
equivalent to a feature with a fixed coefficient of
1. Both the likelihood ratio test and Firth
penalized likelihood ratio test respect this parameter. The output of GloWGR should be passed as an
Databricks Runtime 7.4 for Genomics is the first release in the 7.x line to package support for Hail.
classes in GloWGR now provide a
function to generate leave-one-chomosome-out (LOCO) predictions. In addition, GloWGR now includes a
function to reshape the predictions from GloWGR into a form that the
association tests in Glow can accept.
GloWGR for quantitative and binary traits now provides better performance and clearer error messages in the case of validation failures.
The following sections list the libraries included in Databricks Runtime 7.4 for Genomics that differ from those included in Databricks Runtime 7.4.