@gatk_dev

We are the computational biologists and software engineers who develop and support the Broad Institute's Genome Analysis Toolkit, or GATK.

 Cambridge, MA
broadinstitute.org/gatk
Joined June 2012
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Good news, everyone! We just released GATK 4.7.0.0! Highlights include CRAM 3.1 read / write support via HTSJDK 5.0.0 and various other updates and fixes. You can find it here: github.com/broadinstitute/ga… Be on the lookout for more updates soon!

Release 4.7.0.0 · broadinstitute/gatk

Download release: gatk-4.7.0.0.zip Docker image: https://hub.docker.com/r/broadinstitute/gatk/ Highlights of the 4.7.0.0 release: Upgraded to HTSJDK 5.0.0 and Picard 3.5.0, bringing full CRAM 3.1 ...

github.com
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As of May 1st 2025, GATK forums will be community-driven and self-moderated. They will not be moderated or monitored by a GATK team member. We encourage members of the community to continue to engage with each other on these forums. gatk.broadinstitute.org/hc/e…
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GATK 4.6 is out with some much-requested changes to no-call behavior, plus an important CRAM bug fix. Check out the release notes (github.com/broadinstitute/ga…). This is definitely a recommended upgrade for all GATK users! #gatk

Release 4.6.0.0 · broadinstitute/gatk

Download release: gatk-4.6.0.0.zip Docker image: https://hub.docker.com/r/broadinstitute/gatk/ Highlights of the 4.6.0.0 release: We've fixed a serious CRAM writing bug that affects GATK vers...

github.com
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Using a deep generative model, CellBender models and denoises droplet-based single-cell data and improves multiple downstream analyses. @broadinstitute @patrick_ellinor @gatk_dev nature.com/articles/s41592-0…

Unsupervised removal of systematic background noise from droplet-based single-cell experiments...

Nature Methods - Using a deep generative model, CellBender models and denoises droplet-based single-cell data and improves multiple downstream analyses.

nature.com
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Pretending to be a biologist this week - am learning so much in the @BioInfoCambs / @broadinstitute course on using the @gatk_dev for variant discovery 🧬
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