SparkBLAST: scalable BLAST processing using in-memory operations

BACKGROUND: The demand for processing ever increasing amounts of genomic data has raised new challenges for the implementation of highly scalable and efficient computational systems. In this paper we propose SparkBLAST, a parallelization of a sequence alignment application (BLAST) that employs cloud...

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Detalles Bibliográficos
Autores principales: de Castro, Marcelo Rodrigo, Tostes, Catherine dos Santos, Dávila, Alberto M. R., Senger, Hermes, da Silva, Fabricio A. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5488373/
https://www.ncbi.nlm.nih.gov/pubmed/28655296
http://dx.doi.org/10.1186/s12859-017-1723-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5488373/
https://www.ncbi.nlm.nih.gov/pubmed/28655296
http://dx.doi.org/10.1186/s12859-017-1723-8

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