Tagged with #paired-end
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Which kind of next generation data gives better SNP call - single end read data or paired end read data (using GATK) ?

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I am currently working on a Exome sequencing projekt with older single-end SOLiD exomes and new paired-end exomes. In a first attempt (GATK 1.7 and best practices v3 back then) i tried calling and recalibrating all exomes together (at that time 120) without selecting for paired/single-end. As I already had validatet many variants I could check the quality of the calls and got very bad results, especially for InDels (previously called, true positive variants missing). My idee is that the UnifiedGenotyper has Problems mixing paired-end with single-end exomes.

Is there any official recommendation for this problem? My solution right now is to group the exomes in batches (40-50 Exomes) which ran on the same technology.

Also a second Problem/Question: For some individuals exomes where sequenced twice, and for some of these the first run was single-end and the second one was paired. The best practices mentions one should se all available reads for a individual for calling. Do you have any experience on how to handle these cases?

Any help is greatly appreciated!