We’ve released dxCompiler 2.10.0, which provides support for compiling CWL (Common Workflow Language) workflows and executing them on the platform. For setup instructions, including a getting-started example, see the dxCompiler documentation.
Improved Support for Secondary Analysis of Bulk RNA-Seq Data
We’ve added several apps to our Tool Library, and upgraded others, to improve support for secondary analysis of bulk RNA-Seq data. Users can now leverage popular tools like Kallisto, Salmon, a new version of STAR that includes a gene count feature, and a new version of RSEM for expression quantification. For more info, see the Tools Library for a full list of available RNA-Seq apps, and detail on each.
Add New Data Entities to Existing Datasets
The new Clinical Dataset Merger app allows you quickly and easily to update an existing Apollo Dataset with new data, whether it be new sample data, EHR extracts, or perhaps results from a clinical trial. See the Clinical Dataset Merger documentation for more information, including detail on inputs and outputs, and best practices for using the app.
The new Assay Dataset Merger app makes it easier to integrate assay data into Apollo Datasets. The app allows Apollo users to link assays with any entity in an Apollo Dataset, in either a one-to-one or one-to-many relationship. Link bulk RNA-Seq data to clinical visit information to model a longitudinal study, or turn an existing Dataset into a multi-omic Dataset by adding molecular expression and pop gen data. See the Assay Dataset Merger documentation for more on how to set up and use the app.
Quickly Move Cohorts from One Dataset to Another
When you expand an existing Apollo Dataset to create a new Dataset, moving previously defined cohorts to the new Dataset used to be difficult. The Rebase Cohorts and Dashboards app makes this liftover easy. Select the cohorts you want to move, select the target Dataset, and run the app. See the Rebase Cohorts and Dashboards documentation for more on how to set up and use it.
Learn to manage data, users, and work on the Platform, via its API. Create and share reusable pipelines, applications for analyzing data, custom viewers, and workflows.
This section is targeted towards organizational leads who have the permission to enable others to use DNAnexus for scientific purposes. Operations include managing organization permissions, billing, and authentication to the platform.