GTShark: Genotype compression in large projects

Sebastian Deorowicz; Agnieszka Danek

doi:10.1093/bioinformatics/btz508

GTShark: Genotype compression in large projects

Katedra Algorytmiki i Oprogramowania (RAU/RAU5)

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

17 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Strony (od–do)	4791-4793
Liczba stron	3
Czasopismo	Bioinformatics
Tom	35
Numer wydania	22
Identyfikatory DOI	https://doi.org/10.1093/bioinformatics/btz508
Status publikacji	Opublikowano - 1 lis 2019

Obszary tematyczne ASJC Scopus

Statystyka i prawdopodobieństwo
Biochemia
Biologia molekularna
Zastosowania informatyki
Teoria i matematyka obliczeń
Matematyka obliczeniowa

Uzyskaj dostęp do dokumentu

10.1093/bioinformatics/btz508

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

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