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PARALIGN: rapid and sensitive sequence similarity searches powered by parallel computing technology

PARALIGN is a rapid and sensitive similarity search tool for the identification of distantly related sequences in both nucleotide and amino acid sequence databases. Two algorithms are implemented, accelerated Smith–Waterman and ParAlign. The ParAlign algorithm is similar to Smith–Waterman in sensiti...

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Detalles Bibliográficos
Autores principales: Sæbø, Per Eystein, Andersen, Sten Morten, Myrseth, Jon, Laerdahl, Jon K., Rognes, Torbjørn
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160184/
https://www.ncbi.nlm.nih.gov/pubmed/15980529
http://dx.doi.org/10.1093/nar/gki423
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author Sæbø, Per Eystein
Andersen, Sten Morten
Myrseth, Jon
Laerdahl, Jon K.
Rognes, Torbjørn
author_facet Sæbø, Per Eystein
Andersen, Sten Morten
Myrseth, Jon
Laerdahl, Jon K.
Rognes, Torbjørn
author_sort Sæbø, Per Eystein
collection PubMed
description PARALIGN is a rapid and sensitive similarity search tool for the identification of distantly related sequences in both nucleotide and amino acid sequence databases. Two algorithms are implemented, accelerated Smith–Waterman and ParAlign. The ParAlign algorithm is similar to Smith–Waterman in sensitivity, while as quick as BLAST for protein searches. A form of parallel computing technology known as multimedia technology that is available in modern processors, but rarely used by other bioinformatics software, has been exploited to achieve the high speed. The software is also designed to run efficiently on computer clusters using the message-passing interface standard. A public search service powered by a large computer cluster has been set-up and is freely available at , where the major public databases can be searched. The software can also be downloaded free of charge for academic use.
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spelling pubmed-11601842005-06-29 PARALIGN: rapid and sensitive sequence similarity searches powered by parallel computing technology Sæbø, Per Eystein Andersen, Sten Morten Myrseth, Jon Laerdahl, Jon K. Rognes, Torbjørn Nucleic Acids Res Article PARALIGN is a rapid and sensitive similarity search tool for the identification of distantly related sequences in both nucleotide and amino acid sequence databases. Two algorithms are implemented, accelerated Smith–Waterman and ParAlign. The ParAlign algorithm is similar to Smith–Waterman in sensitivity, while as quick as BLAST for protein searches. A form of parallel computing technology known as multimedia technology that is available in modern processors, but rarely used by other bioinformatics software, has been exploited to achieve the high speed. The software is also designed to run efficiently on computer clusters using the message-passing interface standard. A public search service powered by a large computer cluster has been set-up and is freely available at , where the major public databases can be searched. The software can also be downloaded free of charge for academic use. Oxford University Press 2005-07-01 2005-06-27 /pmc/articles/PMC1160184/ /pubmed/15980529 http://dx.doi.org/10.1093/nar/gki423 Text en © The Author 2005. Published by Oxford University Press. All rights reserved
spellingShingle Article
Sæbø, Per Eystein
Andersen, Sten Morten
Myrseth, Jon
Laerdahl, Jon K.
Rognes, Torbjørn
PARALIGN: rapid and sensitive sequence similarity searches powered by parallel computing technology
title PARALIGN: rapid and sensitive sequence similarity searches powered by parallel computing technology
title_full PARALIGN: rapid and sensitive sequence similarity searches powered by parallel computing technology
title_fullStr PARALIGN: rapid and sensitive sequence similarity searches powered by parallel computing technology
title_full_unstemmed PARALIGN: rapid and sensitive sequence similarity searches powered by parallel computing technology
title_short PARALIGN: rapid and sensitive sequence similarity searches powered by parallel computing technology
title_sort paralign: rapid and sensitive sequence similarity searches powered by parallel computing technology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160184/
https://www.ncbi.nlm.nih.gov/pubmed/15980529
http://dx.doi.org/10.1093/nar/gki423
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