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:
Technical Note
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
Descripción
Sumario: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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