pp-Blast: a "pseudo-parallel" Blast

We have developed a software called pp-Blast that uses the publicly available Blast package and PVM (parallel virtual machine) to partition a multi-sequence query across a set of nodes with replicated or shared databases. Benchmark tests show that pp-Blast running in a cluster of 14 PCs outperformed...

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Main Authors: E.C. Osório, J.E. de Souza, A.C. Zaiats, P.S.L. de Oliveira, S.J. de Souza
Format: Article
Language:English
Published: Associação Brasileira de Divulgação Científica 2003-04-01
Series:Brazilian Journal of Medical and Biological Research
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2003000400007
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spelling doaj-fc222ef0528f4efdbea6e724158362802020-11-25T02:42:23ZengAssociação Brasileira de Divulgação CientíficaBrazilian Journal of Medical and Biological Research0100-879X1414-431X2003-04-0136446346410.1590/S0100-879X2003000400007pp-Blast: a "pseudo-parallel" BlastE.C. OsórioJ.E. de SouzaA.C. ZaiatsP.S.L. de OliveiraS.J. de SouzaWe have developed a software called pp-Blast that uses the publicly available Blast package and PVM (parallel virtual machine) to partition a multi-sequence query across a set of nodes with replicated or shared databases. Benchmark tests show that pp-Blast running in a cluster of 14 PCs outperformed conventional Blast running in large servers. In addition, using pp-Blast and the cluster we were able to map all human cDNAs onto the draft of the human genome in less than 6 days. We propose here that the cost/benefit ratio of pp-Blast makes it appropriate for large-scale sequence analysis. The source code and configuration files for pp-Blast are available at http://www.ludwig.org.br/biocomp/tools/pp-blast.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2003000400007BlastSearch enginesFasta
collection DOAJ
language English
format Article
sources DOAJ
author E.C. Osório
J.E. de Souza
A.C. Zaiats
P.S.L. de Oliveira
S.J. de Souza
spellingShingle E.C. Osório
J.E. de Souza
A.C. Zaiats
P.S.L. de Oliveira
S.J. de Souza
pp-Blast: a "pseudo-parallel" Blast
Brazilian Journal of Medical and Biological Research
Blast
Search engines
Fasta
author_facet E.C. Osório
J.E. de Souza
A.C. Zaiats
P.S.L. de Oliveira
S.J. de Souza
author_sort E.C. Osório
title pp-Blast: a "pseudo-parallel" Blast
title_short pp-Blast: a "pseudo-parallel" Blast
title_full pp-Blast: a "pseudo-parallel" Blast
title_fullStr pp-Blast: a "pseudo-parallel" Blast
title_full_unstemmed pp-Blast: a "pseudo-parallel" Blast
title_sort pp-blast: a "pseudo-parallel" blast
publisher Associação Brasileira de Divulgação Científica
series Brazilian Journal of Medical and Biological Research
issn 0100-879X
1414-431X
publishDate 2003-04-01
description We have developed a software called pp-Blast that uses the publicly available Blast package and PVM (parallel virtual machine) to partition a multi-sequence query across a set of nodes with replicated or shared databases. Benchmark tests show that pp-Blast running in a cluster of 14 PCs outperformed conventional Blast running in large servers. In addition, using pp-Blast and the cluster we were able to map all human cDNAs onto the draft of the human genome in less than 6 days. We propose here that the cost/benefit ratio of pp-Blast makes it appropriate for large-scale sequence analysis. The source code and configuration files for pp-Blast are available at http://www.ludwig.org.br/biocomp/tools/pp-blast.
topic Blast
Search engines
Fasta
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2003000400007
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