StrVCTVRE: Structural Variant Classifier Trained on Variants Rare and Exonic

Andrew Sharo, Zhiqiang Hu, Steven E. Brenner

StrVCTVRE is a method to predict the impact of structural variants on disease. Please see our github page for instructions to run StrVCTVRE. StrVCTVRE annotates exonic deletions and duplications, giving them a score from 0 to 1, with higher scores indicating greater predicted pathogenicity. StrVCTVRE accepts vcf and bed file input.

Biorxiv preprint

StrVCTVRE Github

Contact: sharo@berkeley.edu

Last updated: August 04, 2021