cl-dash: rapid configuration and deployment of Hadoop clusters for bioinformatics research in the cloud.
Bioinformatics
; 32(2): 301-3, 2016 Jan 15.
Article
em En
| MEDLINE
| ID: mdl-26428290
ABSTRACT
UNLABELLED One of the solutions proposed for addressing the challenge of the overwhelming abundance of genomic sequence and other biological data is the use of the Hadoop computing framework. Appropriate tools are needed to set up computational environments that facilitate research of novel bioinformatics methodology using Hadoop. Here, we present cl-dash, a complete starter kit for setting up such an environment. Configuring and deploying new Hadoop clusters can be done in minutes. Use of Amazon Web Services ensures no initial investment and minimal operation costs. Two sample bioinformatics applications help the researcher understand and learn the principles of implementing an algorithm using the MapReduce programming pattern. AVAILABILITY AND IMPLEMENTATION Source code is available at https//bitbucket.org/booz-allen-sci-comp-team/cl-dash.git. CONTACT hodor_paul@bah.com.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
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Software
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Armazenamento e Recuperação da Informação
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Biologia Computacional
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Genômica
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Pesquisa Biomédica
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Ferramenta de Busca
Limite:
Humans
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article