aquaskyline / Skyhawk

An Artificial Neural Network-based discriminator for validating clinically significant genomic variants

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model for b37 or cross-compatibility with hg19

AndrewCarroll opened this issue · comments

In my experience, a plurality of clinical operations use the b37 reference genome. It seems that the hg19 model is not cross compatible when I attempt to execute it (very unfortunate given that the only meaningful difference in this context is the "chr" string on the 24 full chromosomes).

It would be good to either have Skyhawk recognize b37 and cross-apply hg19, or to make a model for b37.

The model itself doesn't aware of the chromosome ID, and as long as the reference, VCF and BAM inputs are using the same set of chromosome IDs, the current implementation should work fine. Did you mean that Skyhawk should consider, say, "chr1" in VCF or BAM the same as "1" when b37 is used as reference?

Skyhawk now generates error and exits early if the ctgName input mismatch the input reference genome.