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dc.contributor.authorGötz, Stefan
dc.contributor.authorGárcía-Gómez, Juan M.
dc.contributor.authorTerol, Javier
dc.contributor.authorWilliams, Tim D.
dc.contributor.authorNagaraj, Shivashankar H.
dc.contributor.authorNueda, María J.
dc.contributor.authorRobles, Montserrat
dc.contributor.authorTalón, Manuel
dc.contributor.authorDopazo, Joaquín
dc.contributor.authorConesa, Ana
dc.date.accessioned2020-05-07T14:45:25Z
dc.date.available2020-05-07T14:45:25Z
dc.date.issued2008es
dc.identifier.citationGötz, S., García-Gómez, J. M., Terol, J., Williams, T. D., Nagaraj, S. H., Nueda, M. J., ... & Conesa, A. (2008). High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic acids research, 36(10), 3420-3435.es
dc.identifier.issn0305-1048
dc.identifier.urihttp://hdl.handle.net/20.500.11939/6426
dc.description.abstractFunctional genomics technologies have been widely adopted in the biological research of both model and non-model species. An efficient functional annotation of DNA or protein sequences is a major requirement for the successful application of these approaches as functional information on gene products is often the key to the interpretation of experimental results. Therefore, there is an increasing need for bioinformatics resources which are able to cope with large amount of sequence data, produce valuable annotation results and are easily accessible to laboratories where functional genomics projects are being undertaken. We present the Blast2GO suite as an integrated and biologistoriented solution for the high-throughput and automatic functional annotation of DNA or protein sequences based on the Gene Ontology vocabulary. The most outstanding Blast2GO features are: (i) the combination of various annotation strategies and tools controlling type and intensity of annotation, (ii) the numerous graphical features such as the interactive GO-graph visualization for gene-set function profiling or descriptive charts, (iii) the general sequence management features and (iv) highthroughput capabilities. We used the Blast2GO framework to carry out a detailed analysis of annotation behaviour through homology transfer and its impact in functional genomics research. Our aim is to offer biologists useful information to take into account when addressing the task of functionally characterizing their sequence data.es
dc.language.isoenes
dc.publisherOxford University Presses
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleHigh-throughput functional annotation and data mining with the Blast2GO suitees
dc.typearticlees
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias, Carretera CV-315, Km. 10,7 - 46113 Moncada (València)es
dc.entidadIVIACentro de Genómicaes
dc.identifier.doi10.1093/nar/gkn176es
dc.identifier.urlhttps://academic.oup.com/nar/article/36/10/3420/2410320es
dc.journal.issueNumber10es
dc.journal.titleNucleic Acids Researches
dc.journal.volumeNumber36es
dc.page.final3435es
dc.page.initial3420es
dc.source.typeelectronicoes
dc.subject.agrisU10 Mathematical and statistical methodses
dc.type.hasVersionpublishedVersiones


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