We’re moving the GATK website, docs and forum to a new platform. Read the full story and breakdown of key changes on this blog.
If you happen to see a question you know the answer to, please do chime in and help your fellow community members. We encourage our fourm members to be more involved, jump in and help out your fellow researchers with their questions. GATK forum is a community forum and helping each other with using GATK tools and research is the cornerstone of our success as a genomics research community.We appreciate your help!
Test-drive the GATK tools and Best Practices pipelines on Terra
Check out this blog post to learn how you can get started with GATK and try out the pipelines in preconfigured workspaces (with a user-friendly interface!) without having to install anything.
Hi GATK team,
I have a question about VQSR. For "VariantRecalibrator" I used as annotations: -an QD -an MQ -an MQRankSum -an ReadPosRankSum -an FS -an SOR -an InbreedingCoeff -mode SNP -tranche 100.0 -tranche 99.9 -tranche 99.0 -tranche 90.0; for "ApplyRecalibration" --ts_filter_level 99.0. I have an exome dataset of more than 200 samples but samples belong to at least 15 families. I wonder if I was wrong to use InbreedingCoeff as annotation and how much it could affect the final number of PASS variants.