Analysis and improvement of map-reduce data distribution in read mapping applications-Reference-Cited by-同舟云学术

Analysis and improvement of map-reduce data distribution in read mapping applications

Published:2012-06-08 Issue:3 Volume:62 Page:1305-1317
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Espinosa A.,Hernandez P.,Moure J. C.,Protasio J.,Ripoll A.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-012-0792-8.pdf

Reference14 articles.

1. Dean J et al (2008) MapReduce: simplified data processing on large clusters. Commun ACM 51:107–113

2. Bialecki A, Cafarella M, Cutting D, O’Malley O (2005) Hadoop: a framework for running applications on large clusters built of commodity hardware. Wiki at http://hadoop.apache.org/

3. LNCS;X Shi,2009

4. Schatz M (2009) CloudBurst: highly sensitive read mapping with MapReduce. Bioinformatics 25(11):1363–1369

5. Langmead B, Schatz MC, Lin J, Pop M, Salzberg SL (2009) Searching for SNPs with cloud computing. Genome Biol 10:R134

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