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ABSTRACT: Background
Structural variation (SV) represents a significant, yet poorly understood contribution to an individual's genetic makeup. Advanced next-generation sequencing technologies are widely used to discover such variations, but there is no single detection tool that is considered a community standard. In an attempt to fulfil this need, we developed an algorithm, SoftSearch, for discovering structural variant breakpoints in Illumina paired-end next-generation sequencing data. SoftSearch combines multiple strategies for detecting SV including split-read, discordant read-pair, and unmated pairs. Co-localized split-reads and discordant read pairs are used to refine the breakpoints.Results
We developed and validated SoftSearch using real and synthetic datasets. SoftSearch's k
SUBMITTER: Hart SN
PROVIDER: S-EPMC3865185 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature