SparkBLAST: scalable BLAST processing using in-memory operations

SparkBLAST: scalable BLAST processing using in-memory operations

Abstract 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 emplo...

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Bibliographic Details
Main Authors: Marcelo Rodrigo de Castro, Catherine dos Santos Tostes, Alberto M. R. Dávila, Hermes Senger, Fabricio A. B. da Silva
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Bioinformatics
Subjects:
Cloud computing
Comparative genomics
Scalability
Spark
Online Access:http://link.springer.com/article/10.1186/s12859-017-1723-8

Internet

http://link.springer.com/article/10.1186/s12859-017-1723-8

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