Affiliation:
1. Institute of Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland
Abstract
Abstract
Summary
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.
Availability and implementation
https://github.com/refresh-bio/GTShark.
Supplementary information
Supplementary data are available at Bioinformatics online.
Funder
National Science Centre
‘GeCONiI—Upper Silesian Center for Computational Science and Engineering’
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Cited by
17 articles.
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