bioRxivBioinformaticsPreprint
SVCollector: Optimized sample selection for validating and long-read resequencing of structural variants
Fritz Joachim SedlazeckiD, Zachary H. LemmoniD, Sebastian SoykiD, William J. SalernoiD, Zachary B. LippmaniD, Michael C. SchatziD
Abstract
SummaryStructural 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.\n\nAvailabilityhttps://github.com/fritzsedlazeck/SVCollector\n\nContactfritz.sedlazeck@bcm.edu\n\nSupplementary informationSupplementary data are available at Bioinformatics online.
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