SV-Pop: population-based structural variant analysis and visualization
BMC bioinformatics(2019)
摘要
Background Genetic structural variation underpins a multitude of phenotypes, with significant implications for a range of biological outcomes. Despite their crucial role, structural variants (SVs) are often neglected and overshadowed by single nucleotide polymorphisms (SNPs), which are used in large-scale analysis such as genome-wide association and population genetic studies. Results To facilitate the high-throughput analysis of structural variation we have developed an analytical pipeline and visualisation tool, called SV-Pop . The utility of this pipeline was then demonstrated through application with a large, multi-population P. falciparum dataset. Conclusions Designed to facilitate downstream analysis and visualisation post-discovery, SV-Pop allows for straightforward integration of multi-population analysis, method and sample-based concordance metrics, and signals of selection.
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关键词
Analytics,Bioinformatics,Population genomics,Python,R,Shiny,Structural variation
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