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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 on November 11th and 13th 2019, due to the U.S. holiday(Veteran's day) and due to a team event(Nov 13th). We will return to monitoring the GATK forum on November 12th and 14th respectively. Thank you for your patience.
GATK Queue and the Data Processing Pipeline
What is the best way to get Queue to optimize utilization of a given number of cores in an SGE cluster? The DataProcessingPipeline.scala has a hidden parameter "scatter_gather" which sets the nContigs variable. Is it safe to use this option? For example, if you had 100 cores available in your cluster could you set the option to 100? Is there any advantage to setting it higher?
Without setting it, Queue appears to set the nContigs value based on the number of chromosomes in the BAM input. So if using a whole genome BAM it's 25, your example Chr20 data it's 1, or with an unaligned BAM it's 0. So if starting with unaligned data, it appears to run on a single core?