PT  - JOURNAL ARTICLE
AU  - Sedlazeck, Fritz J.
AU  - Lemmon, Zachary
AU  - Soyk, Sebastian
AU  - Salerno, William J.
AU  - Lippman, Zachary
AU  - Schatz, Michael C.
TI  - SVCollector: Optimized sample selection for validating and long-read resequencing of structural variants
AID  - 10.1101/342386
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 342386
4099  - http://biorxiv.org/content/early/2018/06/08/342386.short
4100  - http://biorxiv.org/content/early/2018/06/08/342386.full
AB  - Summary Structural Variations (SVs) are increasingly recognized for their importance in genomics. Short-read sequencing is the most widely-used approach for genotyping large numbers of samples for SVs but suffers from relatively poor accuracy. Here we present SVCollector, an open-source method that optimally selects samples to maximize variant discovery and validation using long read resequencing or PCR-based validation. SVCollector has two modes: selecting those samples that are individually the most diverse or those that collectively capture the largest number of variations.Availability https://github.com/fritzsedlazeck/SVCollectorContact fritz.sedlazeck{at}bcm.eduSupplementary information Supplementary data are available at Bioinformatics online.