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Bathometer: lightning fast depth-of-reads query
MOTIVATION: The query for the number of reads overlapping a given region is a common step in the analysis of Illumina sequencing data. Sometimes, these queries are not conveniently precomputable. It seems beneficial to make this kind of arbitrary query as fast and convenient as possible. RESULTS: We...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502157/ https://www.ncbi.nlm.nih.gov/pubmed/33983362 http://dx.doi.org/10.1093/bioinformatics/btab372 |
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author | Stenzel, U Horn, S |
author_facet | Stenzel, U Horn, S |
author_sort | Stenzel, U |
collection | PubMed |
description | MOTIVATION: The query for the number of reads overlapping a given region is a common step in the analysis of Illumina sequencing data. Sometimes, these queries are not conveniently precomputable. It seems beneficial to make this kind of arbitrary query as fast and convenient as possible. RESULTS: We present Bathometer, a tool that indexes BAM files in a space efficient way, which allows ad hoc queries for the number of reads overlapping any given genomic region to be answered much more quickly than by counting with common tools such as Samtools, while incurring much less disk I/O. AVAILABILITYAND IMPLEMENTATION: Bathometer is implemented in C, licensed under the GNU General Public License version 3+ and freely downloadable from Bitbucket (https://bitbucket.org/ustenzel/bathometer) SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9502157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95021572022-09-26 Bathometer: lightning fast depth-of-reads query Stenzel, U Horn, S Bioinformatics Applications Notes MOTIVATION: The query for the number of reads overlapping a given region is a common step in the analysis of Illumina sequencing data. Sometimes, these queries are not conveniently precomputable. It seems beneficial to make this kind of arbitrary query as fast and convenient as possible. RESULTS: We present Bathometer, a tool that indexes BAM files in a space efficient way, which allows ad hoc queries for the number of reads overlapping any given genomic region to be answered much more quickly than by counting with common tools such as Samtools, while incurring much less disk I/O. AVAILABILITYAND IMPLEMENTATION: Bathometer is implemented in C, licensed under the GNU General Public License version 3+ and freely downloadable from Bitbucket (https://bitbucket.org/ustenzel/bathometer) SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-05-13 /pmc/articles/PMC9502157/ /pubmed/33983362 http://dx.doi.org/10.1093/bioinformatics/btab372 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 Stenzel, U Horn, S Bathometer: lightning fast depth-of-reads query |
title | Bathometer: lightning fast depth-of-reads query |
title_full | Bathometer: lightning fast depth-of-reads query |
title_fullStr | Bathometer: lightning fast depth-of-reads query |
title_full_unstemmed | Bathometer: lightning fast depth-of-reads query |
title_short | Bathometer: lightning fast depth-of-reads query |
title_sort | bathometer: lightning fast depth-of-reads query |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502157/ https://www.ncbi.nlm.nih.gov/pubmed/33983362 http://dx.doi.org/10.1093/bioinformatics/btab372 |
work_keys_str_mv | AT stenzelu bathometerlightningfastdepthofreadsquery AT horns bathometerlightningfastdepthofreadsquery |