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BiDiBlast: Comparative Genomics Pipeline for the PC

Bi-directional BLAST is a simple approach to detect, annotate, and analyze candidate orthologous or paralogous sequences in a single go. This procedure is usually confined to the realm of customized Perl scripts, usually tuned for UNIX-like environments. Porting those scripts to other operating syst...

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Detalles Bibliográficos
Autor principal: de Almeida, João M.G.C.F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054440/
https://www.ncbi.nlm.nih.gov/pubmed/20691399
http://dx.doi.org/10.1016/S1672-0229(10)60015-0
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author de Almeida, João M.G.C.F.
author_facet de Almeida, João M.G.C.F.
author_sort de Almeida, João M.G.C.F.
collection PubMed
description Bi-directional BLAST is a simple approach to detect, annotate, and analyze candidate orthologous or paralogous sequences in a single go. This procedure is usually confined to the realm of customized Perl scripts, usually tuned for UNIX-like environments. Porting those scripts to other operating systems involves refactoring them, and also the installation of the Perl programming environment with the required libraries. To overcome these limitations, a data pipeline was implemented in Java. This application submits two batches of sequences to local versions of the NCBI BLAST tool, manages result lists, and refines both bi-directional and simple hits. GO Slim terms are attached to hits, several statistics are derived, and molecular evolution rates are estimated through PAML. The results are written to a set of delimited text tables intended for further analysis. The provided graphic user interface allows a friendly interaction with this application, which is documented and available to download at http://moodle.fct.unl.pt/course/view.php?id=2079 or https://sourceforge.net/projects/bidiblast/ under the GNU GPL license.
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spelling pubmed-50544402016-10-14 BiDiBlast: Comparative Genomics Pipeline for the PC de Almeida, João M.G.C.F. Genomics Proteomics Bioinformatics Application Note Bi-directional BLAST is a simple approach to detect, annotate, and analyze candidate orthologous or paralogous sequences in a single go. This procedure is usually confined to the realm of customized Perl scripts, usually tuned for UNIX-like environments. Porting those scripts to other operating systems involves refactoring them, and also the installation of the Perl programming environment with the required libraries. To overcome these limitations, a data pipeline was implemented in Java. This application submits two batches of sequences to local versions of the NCBI BLAST tool, manages result lists, and refines both bi-directional and simple hits. GO Slim terms are attached to hits, several statistics are derived, and molecular evolution rates are estimated through PAML. The results are written to a set of delimited text tables intended for further analysis. The provided graphic user interface allows a friendly interaction with this application, which is documented and available to download at http://moodle.fct.unl.pt/course/view.php?id=2079 or https://sourceforge.net/projects/bidiblast/ under the GNU GPL license. Elsevier 2010-06 2010-08-04 /pmc/articles/PMC5054440/ /pubmed/20691399 http://dx.doi.org/10.1016/S1672-0229(10)60015-0 Text en © 2010 Beijing Institute of Genomics http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).
spellingShingle Application Note
de Almeida, João M.G.C.F.
BiDiBlast: Comparative Genomics Pipeline for the PC
title BiDiBlast: Comparative Genomics Pipeline for the PC
title_full BiDiBlast: Comparative Genomics Pipeline for the PC
title_fullStr BiDiBlast: Comparative Genomics Pipeline for the PC
title_full_unstemmed BiDiBlast: Comparative Genomics Pipeline for the PC
title_short BiDiBlast: Comparative Genomics Pipeline for the PC
title_sort bidiblast: comparative genomics pipeline for the pc
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054440/
https://www.ncbi.nlm.nih.gov/pubmed/20691399
http://dx.doi.org/10.1016/S1672-0229(10)60015-0
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