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Megadepth: efficient coverage quantification for BigWigs and BAMs

Christopher Wilks, Omar Ahmed, Daniel N. Baker, David Zhang, Leonardo Collado‐Torres, Ben Langmead

2021Bioinformatics53 citationsDOIOpen Access PDF

Abstract

MOTIVATION: 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. RESULTS: Megadepth is a fast tool for quantifying alignments and coverage for BigWig and BAM/CRAM input files, using substantially less memory than the next-fastest competitor. Megadepth can summarize coverage within all disjoint intervals of the Gencode V35 gene annotation for more than 19 000 GTExV8 BigWig files in approximately 1 h using 32 threads. Megadepth is available both as a command-line tool and as an R/Bioconductor package providing much faster quantification compared to the rtracklayer package. AVAILABILITY AND IMPLEMENTATION: https://github.com/ChristopherWilks/megadepth, https://bioconductor.org/packages/megadepth. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Topics & Concepts

BioconductorComputer scienceR packageAnnotationDisjoint setsSoftwareData miningFile formatDatabaseProgramming languageArtificial intelligenceBiologyGeneMathematicsGeneticsCombinatoricsGenomics and Phylogenetic StudiesGenomics and Rare DiseasesGenetics, Bioinformatics, and Biomedical Research
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