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Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics

Functional annotation of novel sequence data is a primary requirement for the utilization of functional genomics approaches in plant research. In this paper, we describe the Blast2GO suite as a comprehensive bioinformatics tool for functional annotation of sequences and data mining on the resulting...

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Detalles Bibliográficos
Autores principales: Conesa, Ana, Götz, Stefan
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375974/
https://www.ncbi.nlm.nih.gov/pubmed/18483572
http://dx.doi.org/10.1155/2008/619832
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author Conesa, Ana
Götz, Stefan
author_facet Conesa, Ana
Götz, Stefan
author_sort Conesa, Ana
collection PubMed
description Functional annotation of novel sequence data is a primary requirement for the utilization of functional genomics approaches in plant research. In this paper, we describe the Blast2GO suite as a comprehensive bioinformatics tool for functional annotation of sequences and data mining on the resulting annotations, primarily based on the gene ontology (GO) vocabulary. Blast2GO optimizes function transfer from homologous sequences through an elaborate algorithm that considers similarity, the extension of the homology, the database of choice, the GO hierarchy, and the quality of the original annotations. The tool includes numerous functions for the visualization, management, and statistical analysis of annotation results, including gene set enrichment analysis. The application supports InterPro, enzyme codes, KEGG pathways, GO direct acyclic graphs (DAGs), and GOSlim. Blast2GO is a suitable tool for plant genomics research because of its versatility, easy installation, and friendly use.
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spelling pubmed-23759742008-05-15 Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics Conesa, Ana Götz, Stefan Int J Plant Genomics Methodology Report Functional annotation of novel sequence data is a primary requirement for the utilization of functional genomics approaches in plant research. In this paper, we describe the Blast2GO suite as a comprehensive bioinformatics tool for functional annotation of sequences and data mining on the resulting annotations, primarily based on the gene ontology (GO) vocabulary. Blast2GO optimizes function transfer from homologous sequences through an elaborate algorithm that considers similarity, the extension of the homology, the database of choice, the GO hierarchy, and the quality of the original annotations. The tool includes numerous functions for the visualization, management, and statistical analysis of annotation results, including gene set enrichment analysis. The application supports InterPro, enzyme codes, KEGG pathways, GO direct acyclic graphs (DAGs), and GOSlim. Blast2GO is a suitable tool for plant genomics research because of its versatility, easy installation, and friendly use. Hindawi Publishing Corporation 2008 2007-04-30 /pmc/articles/PMC2375974/ /pubmed/18483572 http://dx.doi.org/10.1155/2008/619832 Text en Copyright © 2008 A. Conesa and S. Götz. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Report
Conesa, Ana
Götz, Stefan
Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics
title Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics
title_full Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics
title_fullStr Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics
title_full_unstemmed Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics
title_short Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics
title_sort blast2go: a comprehensive suite for functional analysis in plant genomics
topic Methodology Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375974/
https://www.ncbi.nlm.nih.gov/pubmed/18483572
http://dx.doi.org/10.1155/2008/619832
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