The current GATK version is 3.7-0
Examples: Monday, today, last week, Mar 26, 3/26/04

Howdy, Stranger!

It looks like you're new here. If you want to get involved, click one of these buttons!

Powered by Vanilla. Made with Bootstrap.
GATK 3.7 is here! Be sure to read the Version Highlights and optionally the full Release Notes.
Register now for the upcoming GATK Best Practices workshop, Feb 20-22 in Leuven, Belgium. Open to all comers! More info and signup at

Best practices for BQRS

dcittarodcittaro Member Posts: 31

Hi all, I would like to know which best practices are available for BQRS only and, before that, I need some detail on how BQRS works.
In particular: suppose I have exome data for multiple samples and a set of intervals that covers all exome baits. One way to perform BQRS is to run the BaseRecalibrator walker on the whole file, using all BAM files available and have a single covariate table; I run PrintReads on each BAM file using the covariate table.
Another way, is to run in the very same way feeding with the file containing intervals. This speeds things up because the walker doesn't have to check the whole genome space.
Another way, faster, is to run a single BaseRecalibrator process for each interval. This results in a number of covariate tables equal to the number of intervals. I then run the same number of PrintReads and merge the results.
If the latter would be enough, I know I can run really fast, but I'm afraid I may get some biased covariate table.
I may apply the same procedure on whole genome, choosing the proper set of intervals


Best Answer


Sign In or Register to comment.