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BamBam: genome sequence analysis tools for biologists

BACKGROUND: Massive computational power is needed to analyze the genomic data produced by next-generation sequencing, but extensive computational experience and specific knowledge of algorithms should not be necessary to run genomic analyses or interpret their results. FINDINGS: We present BamBam, a...

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Detalles Bibliográficos
Autores principales: Page, Justin T, Liechty, Zachary S, Huynh, Mark D, Udall, Joshua A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258253/
https://www.ncbi.nlm.nih.gov/pubmed/25421351
http://dx.doi.org/10.1186/1756-0500-7-829
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author Page, Justin T
Liechty, Zachary S
Huynh, Mark D
Udall, Joshua A
author_facet Page, Justin T
Liechty, Zachary S
Huynh, Mark D
Udall, Joshua A
author_sort Page, Justin T
collection PubMed
description BACKGROUND: Massive computational power is needed to analyze the genomic data produced by next-generation sequencing, but extensive computational experience and specific knowledge of algorithms should not be necessary to run genomic analyses or interpret their results. FINDINGS: We present BamBam, a package of tools for genome sequence analysis. BamBam contains tools that facilitate summarizing data from BAM alignment files and identifying features such as SNPs, indels, and haplotypes represented in those alignments. CONCLUSIONS: BamBam provides a powerful and convenient framework to analyze genome sequence data contained in BAM files. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-829) contains supplementary material, which is available to authorized users.
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spelling pubmed-42582532014-12-08 BamBam: genome sequence analysis tools for biologists Page, Justin T Liechty, Zachary S Huynh, Mark D Udall, Joshua A BMC Res Notes Technical Note BACKGROUND: Massive computational power is needed to analyze the genomic data produced by next-generation sequencing, but extensive computational experience and specific knowledge of algorithms should not be necessary to run genomic analyses or interpret their results. FINDINGS: We present BamBam, a package of tools for genome sequence analysis. BamBam contains tools that facilitate summarizing data from BAM alignment files and identifying features such as SNPs, indels, and haplotypes represented in those alignments. CONCLUSIONS: BamBam provides a powerful and convenient framework to analyze genome sequence data contained in BAM files. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-829) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-24 /pmc/articles/PMC4258253/ /pubmed/25421351 http://dx.doi.org/10.1186/1756-0500-7-829 Text en © Page et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Technical Note
Page, Justin T
Liechty, Zachary S
Huynh, Mark D
Udall, Joshua A
BamBam: genome sequence analysis tools for biologists
title BamBam: genome sequence analysis tools for biologists
title_full BamBam: genome sequence analysis tools for biologists
title_fullStr BamBam: genome sequence analysis tools for biologists
title_full_unstemmed BamBam: genome sequence analysis tools for biologists
title_short BamBam: genome sequence analysis tools for biologists
title_sort bambam: genome sequence analysis tools for biologists
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258253/
https://www.ncbi.nlm.nih.gov/pubmed/25421351
http://dx.doi.org/10.1186/1756-0500-7-829
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