Comparing multi- and single-sample variant calls to improve variant call sets from deep coverage whole-genome sequencing data
Suyash S. Shringarpure, Rasika A. Mathias, Ryan D. Hernandez, Timothy D. O’Connor, Zachary A. Szpiech, Raul Torres, Francisco M. De La Vega, Carlos D. Bustamante, Kathleen C. Barnes, Margaret A. Taub, Behalf of the CAAPA consortium
The paper improves variant call sets from deep coverage whole-genome sequencing data by comparing multi- and single-sample variant calls using a Random Forest classifier trained on genotype array data.
bioRxiv · Sep 30, 2016 · PreprintBioinformatics