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High-throughput functional annotation and data

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High-throughput functional annotation and data

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dc.contributor.author GOTZ, STEFAN es_ES
dc.contributor.author García Gómez, Juan Miguel es_ES
dc.contributor.author Terol, Javier es_ES
dc.contributor.author Williams, Tim D. es_ES
dc.contributor.author Nagaraj, Shivashankar H. es_ES
dc.contributor.author Nueda, María José es_ES
dc.contributor.author Robles Viejo, Monserrat es_ES
dc.contributor.author Talón, Manuel es_ES
dc.contributor.author Dopazo, Joaquín es_ES
dc.contributor.author Conesa, Ana es_ES
dc.date.accessioned 2017-12-04T10:51:39Z
dc.date.available 2017-12-04T10:51:39Z
dc.date.issued 2008 es_ES
dc.identifier.issn 0305-1048 es_ES
dc.identifier.uri http://hdl.handle.net/10251/91914
dc.description.abstract [EN] Functional 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 biologist-oriented 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) high-throughput 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_ES
dc.language Inglés es_ES
dc.publisher Oxford University Press es_ES
dc.relation.ispartof Nucleic Acids Research es_ES
dc.rights Reconocimiento - No comercial (by-nc) es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title High-throughput functional annotation and data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1093/nar/gkn176 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.description.bibliographicCitation Gotz, S.; García Gómez, JM.; Terol, J.; Williams, TD.; Nagaraj, SH.; Nueda, MJ.; Robles Viejo, M.... (2008). High-throughput functional annotation and data. Nucleic Acids Research. 36(10):3420-3435. doi:10.1093/nar/gkn176 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1093/nar/gkn176 es_ES
dc.description.upvformatpinicio 3420 es_ES
dc.description.upvformatpfin 3435 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 36 es_ES
dc.description.issue 10 es_ES
dc.relation.pasarela S\36122 es_ES


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