Cargando…
Hadoop-BAM: directly manipulating next generation sequencing data in the cloud
Summary: Hadoop-BAM is a novel library for the scalable manipulation of aligned next-generation sequencing data in the Hadoop distributed computing framework. It acts as an integration layer between analysis applications and BAM files that are processed using Hadoop. Hadoop-BAM solves the issues rel...
Autores principales: | Niemenmaa, Matti, Kallio, Aleksi, Schumacher, André, Klemelä, Petri, Korpelainen, Eija, Heljanko, Keijo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3307120/ https://www.ncbi.nlm.nih.gov/pubmed/22302568 http://dx.doi.org/10.1093/bioinformatics/bts054 |
Ejemplares similares
-
SeqPig: simple and scalable scripting for large sequencing data sets in Hadoop
por: Schumacher, André, et al.
Publicado: (2014) -
cl-dash: rapid configuration and deployment of Hadoop clusters for bioinformatics research in the cloud
por: Hodor, Paul, et al.
Publicado: (2016) -
ppBAM: ProteinPaint BAM track for read alignment visualization and variant genotyping
por: Paul, Robin, et al.
Publicado: (2023) -
Megadepth: efficient coverage quantification for BigWigs and BAMs
por: Wilks, Christopher, et al.
Publicado: (2021) -
BamToCov: an efficient toolkit for sequence coverage calculations
por: Birolo, Giovanni, et al.
Publicado: (2022)