Cargando…
Megadepth: efficient coverage quantification for BigWigs and BAMs
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/C...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528031/ https://www.ncbi.nlm.nih.gov/pubmed/33693500 http://dx.doi.org/10.1093/bioinformatics/btab152 |
_version_ | 1784586177099071488 |
---|---|
author | Wilks, Christopher Ahmed, Omar Baker, Daniel N Zhang, David Collado-Torres, Leonardo Langmead, Ben |
author_facet | Wilks, Christopher Ahmed, Omar Baker, Daniel N Zhang, David Collado-Torres, Leonardo Langmead, Ben |
author_sort | Wilks, Christopher |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8528031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85280312021-10-20 Megadepth: efficient coverage quantification for BigWigs and BAMs Wilks, Christopher Ahmed, Omar Baker, Daniel N Zhang, David Collado-Torres, Leonardo Langmead, Ben Bioinformatics Applications Notes 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. Oxford University Press 2021-03-08 /pmc/articles/PMC8528031/ /pubmed/33693500 http://dx.doi.org/10.1093/bioinformatics/btab152 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Wilks, Christopher Ahmed, Omar Baker, Daniel N Zhang, David Collado-Torres, Leonardo Langmead, Ben Megadepth: efficient coverage quantification for BigWigs and BAMs |
title | Megadepth: efficient coverage quantification for BigWigs and BAMs |
title_full | Megadepth: efficient coverage quantification for BigWigs and BAMs |
title_fullStr | Megadepth: efficient coverage quantification for BigWigs and BAMs |
title_full_unstemmed | Megadepth: efficient coverage quantification for BigWigs and BAMs |
title_short | Megadepth: efficient coverage quantification for BigWigs and BAMs |
title_sort | megadepth: efficient coverage quantification for bigwigs and bams |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528031/ https://www.ncbi.nlm.nih.gov/pubmed/33693500 http://dx.doi.org/10.1093/bioinformatics/btab152 |
work_keys_str_mv | AT wilkschristopher megadepthefficientcoveragequantificationforbigwigsandbams AT ahmedomar megadepthefficientcoveragequantificationforbigwigsandbams AT bakerdanieln megadepthefficientcoveragequantificationforbigwigsandbams AT zhangdavid megadepthefficientcoveragequantificationforbigwigsandbams AT colladotorresleonardo megadepthefficientcoveragequantificationforbigwigsandbams AT langmeadben megadepthefficientcoveragequantificationforbigwigsandbams |