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Variant Discovery in High-Throughput Sequencing Data

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Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size. Learn more

Question on using GATK-DRAGEN (dragmap-os aligner) with Mutect2

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    James Emery

    Hello @Anand. To try to answer your questions here are some comments:

    DRAGMAP broadly should be compatible with Mutect2, it output similar alignments as BWA does on the same reference and there should be no inherent incompatibility between it and BQSR. BQSR is still part of or Mutect2 best practices, but it was dropped from the DRAGEN-GATK best practices because the altered base quality scores were incompatible with the BQD genotyping model that was introduced into HaplotypeCaller. That genotyping model is not in Mutect2 so BQSR should still work. 

    As far as your question about the ComoseSTRTableFile tool. While it is not part of our best practices for Mutect2, it was an improvement to the common code between HC and M2 and you should be able to use an STR table in Mutect2. Since the priors learned in the table involve sampling STR sites across the entire genome I would only recommend using it on WGS data but this is an off-label use-case you use at your own risk. Should you want to proceed, you should run CallibrateDragstrModel after running MarkDuplicates on the input.

    I will add that we have never tested what impact combining the Dragstr model with BQSR and I would be worried about the impact of mixing those two models, since it seems possible that you would be double-penalizing events at STR sites/low complexity regions at places where both models are learning to penalize errors. 

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