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A variant selection framework for genome graphs
2021
Bioinformatics
Motivation Variation graph representations are projected to either replace or supplement conventional single genome references due to their ability to capture population genetic diversity and reduce reference bias. Vast catalogues of genetic variants for many species now exist, and it is natural to ask which among these are crucial to circumvent reference bias during read mapping. Results In this work, we propose a novel mathematical framework for variant selection, by casting it in terms of
doi:10.1093/bioinformatics/btab302
pmid:34252945
fatcat:uwnm72ctdrc7vo4esvrgwy7mcm