GTShark: genotype compression in large projects | Zendy

Sebastian Deorowicz | Zendy; Agnieszka Danek | Zendy

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GTShark: genotype compression in large projects

Author(s) -

Sebastian Deorowicz,

Agnieszka Danek

Publication year - 2019

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/btz508

Subject(s) - computer science , data compression , compression (physics) , genotype , data mining , database , information retrieval , artificial intelligence , biology , genetics , gene , materials science , composite material

Nowadays large sequencing projects handle tens of thousands of individuals. The huge files summarizing the findings definitely require compression. We propose a tool able to compress large collections of genotypes almost 30% better than the best tool to date, i.e. squeezing human genotype to less than 62 KB. Moreover, it can also compress single samples in reference to the existing database achieving comparable results.

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