Conesa, A.; Götz, S.; Garcia-Gomez, JM.; Terol, J.; Talón, M.; Robles Viejo, M. (2005). Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics. 21(18):3674-3676. https://doi.org/10.1093/bioinformatics/bti610
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/151293
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Title:
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Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research
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Author:
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Conesa, Ana
Götz, Stefan
Garcia-Gomez, Juan M
Terol, Javier
Talón, Manuel
Robles Viejo, Montserrat
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UPV Unit:
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Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
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Issued date:
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Abstract:
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[EN] We present here Blast2GO (B2G), a research tool designed with the main purpose of enabling Gene Ontology (GO) based data mining on sequence data for which no GO annotation is yet available. B2G joints in one application ...[+]
[EN] We present here Blast2GO (B2G), a research tool designed with the main purpose of enabling Gene Ontology (GO) based data mining on sequence data for which no GO annotation is yet available. B2G joints in one application GO annotation based on similarity searches with statistical analysis and highlighted visualization on directed acyclic graphs. This tool offers a suitable platform for functional genomics research in non-model species. B2G is an intuitive and interactive desktop application that allows monitoring and comprehension of the whole annotation and analysis process.
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Subjects:
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Gene-Ontology
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Copyrigths:
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Cerrado |
Source:
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Bioinformatics. (issn:
1367-4803
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DOI:
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10.1093/bioinformatics/bti610
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Publisher:
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Oxford University Press
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Publisher version:
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https://doi.org/10.1093/bioinformatics/bti610
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Project ID:
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EC/FP6-2002-LIFESCIHEALTH 503094
MCYT/GEN2001-4885-C05-03
INS.SALUD CARLOS III/G03/160
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Thanks:
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The authors thank Dr Timothy Williams for fruitful discussions andcomments on the software and Nils Bluethgen for kindly providingthe Gossip software and supporting integration in B2G. This workhas been funded by MCyT (GEN ...[+]
The authors thank Dr Timothy Williams for fruitful discussions andcomments on the software and Nils Bluethgen for kindly providingthe Gossip software and supporting integration in B2G. This workhas been funded by MCyT (GEN 2001-4885-C05-03) and eTumourProject (FP6-2002-LIFESCIHEALTH 503094). The authors thankthe INBIOMED G03/160 research thematic network financed byFIS of the Instituto de Salud Carlos III.
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Type:
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Artículo
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