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 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.
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Associação Brasileira de Divulgação Científica
2003
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oai:scielo:S0100-879X20030004000072003-04-08pp-Blast: a "pseudo-parallel" BlastOsório,E.C.Souza,J.E. deZaiats,A.C.Oliveira,P.S.L. deSouza,S.J. de Blast Search engines Fasta 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.info:eu-repo/semantics/openAccessAssociação Brasileira de Divulgação CientíficaBrazilian Journal of Medical and Biological Research v.36 n.4 20032003-04-01info:eu-repo/semantics/othertext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2003000400007en10.1590/S0100-879X2003000400007 |
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Osório,E.C. Souza,J.E. de Zaiats,A.C. Oliveira,P.S.L. de Souza,S.J. de |
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Osório,E.C. Souza,J.E. de Zaiats,A.C. Oliveira,P.S.L. de Souza,S.J. de pp-Blast: a "pseudo-parallel" Blast |
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Osório,E.C. Souza,J.E. de Zaiats,A.C. Oliveira,P.S.L. de Souza,S.J. de |
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Osório,E.C. |
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 |
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. |
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Associação Brasileira de Divulgação Científica |
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2003 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2003000400007 |
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1756391044914610176 |