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.
We will be out of the office for a Broad Institute event from Dec 10th to Dec 11th 2019. We will be back to monitor the GATK forum on Dec 12th 2019. In the meantime we encourage you to help out other community members with their queries.
Thank you for your patience!
Exploring parameter space with hard filters (VariantFiltration)
I am doing an analysis on chimp variants, and do not have enough variants to train the model in order to perform VQSR. I am using hard filters at this point, as per the recommendation. I keep reading that the recommended cutoff values are only recommendations and that I should expect to tweak the parameters further. However, how do I do this in an effective manner? I'm just not sure how to approach exploring the parameter space.
Should I try out different values around the recommended cutoffs and, down the line, analyze how many mutations I get/calculate certain values for quality control and check that they agree with what is expected (CpG transition rate, and so on)? Is there a way to inspect the data to see whether it is behaving well, or do I have to wait until down the line to see how things are going? Any insight into this would help tremendously.