They have a DOI and everything! Kate Voss presented this poster at the Bioinformatics Open-Source Conference in Prague last month. See the abstract below. The full citation is:

Voss K, Gentry J and Van der Auwera G. Full-stack genomics pipelining with GATK4 + WDL + Cromwell [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1379 (poster) (doi: 10.7490/f1000research.1114631.1)

In case you're wondering, the flying pig with warp nacelles is Jamie, the mascot of the Cromwell execution engine. And the story behind that... is a story for another time :)


Abstract

GATK4 is the new major version of the Genome Analysis Toolkit (GATK), one of the most widely used software toolkits for germline short variant discovery and genotyping in whole genome and exome data. For genomics analysts, this new version greatly expands the toolkit's scope of action within the variant discovery space and provides substantial performance improvements with the aim of shortening runtimes and reducing cost of analysis. But it also offers significant new advantages for developers, including a completely redesigned and streamlined engine that provides more flexibility, is easier to develop against, and supports new technologies such as Apache Spark and cloud platform functionalities (e.g. direct access to files in Google Cloud Storage).

WDL and Cromwell are a Workflow Definition Language and a workflow execution engine, respectively. The imperative that drives WDL’s development is to make authoring analysis workflows more accessible to analysts and biomedical scientists, while leaving as much as possible of any runtime complexity involved to the execution engine.

GATK4, WDL and Cromwell are all developed by the Data Sciences Platform (DSP) at the Broad Institute and released under a BSD 3-clause license. For more information on GATK’s recent licensing change, please see https://software.broadinstitute.org/gatk/blog?id=9645.

Taken together, these three components constitute a pipelining solution that is purposely integrated from the ground up, although they can each be used independently and in combination with other packages through features that maximize interoperability. This principle of integration applies equally to development, to deployment in production at the Broad, and to support provided to the external community.


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@awscloud @BroadGenomics Jamie the Cromwell pig runs on AWS Batch! Read the blog post by @RuchMunsh at… https://t.co/n6AK77ljQo
1 Oct 18
@sminot @iprophage Tadaaa Cromwell is now on AWS, see https://t.co/gT0KFnmGC5 and https://t.co/375wew4Alk
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@sminot @iprophage Like seriously we’re talking days on a scale that a preschooler can count to. Keep an eye on the… https://t.co/JFGyviqGSL
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@sminot @iprophage Coming sooooon...
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@vanilla Aaand we're back; everything should be working properly now.
20 Sep 18

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@sminot So true! If the workflow manager side of you is interested, check this out. I’ve been getting more into thi… https://t.co/GmXZKac9b5
21 Sep 18
We had a lot of fun in the last day of the #GATK workshop. A lot to learn and practice on their workflow descriptiv… https://t.co/bTMSyT8W60
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Today at #GATK course, pipelining with WDL, Cromwell and Firecloud! @ClinicalBioinfo @FProgresoysalud @gatk_dev https://t.co/V4bLinpoPh
20 Sep 18
Pretty cool. An #rstats shiny dashboard for Cromwell (and thus both #OpenWDL and #commonwl) https://t.co/Qg9ZBa1slX
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