Open AccessMegadepth: efficient coverage quantification for BigWigs and BAMs
Author(s) -
Christopher Wilks,
Omar Ahmed,
Daniel Baker,
David Zhang,
Leonardo ColladoTorres,
Ben Langmead
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/btab152
Subject(s) - bioconductor , computer science , r package , annotation , disjoint sets , software , data mining , file format , database , programming language , artificial intelligence , biology , gene , mathematics , genetics , combinatorics
A common way to summarize sequencing datasets is to quantify data lying within genes or other genomic intervals. This can be slow and can require different tools for different input file types.
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