A variant selection framework for genome graphs | Zendy

Chirag Jain | Zendy; Neda Tavakoli | Zendy; Srinivas Aluru | Zendy

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A variant selection framework for genome graphs

Author(s) -

Chirag Jain,

Neda Tavakoli,

Srinivas Aluru

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab302

Subject(s) - selection (genetic algorithm) , computer science , genome , genomic selection , computational biology , biology , genetics , artificial intelligence , gene , genotype , single nucleotide polymorphism

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.

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