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dc.contributor.authorRodriguez, Jose M.
dc.contributor.authorRodriguez-Rivas, Juan
dc.contributor.authordi Domenico, Tomás
dc.contributor.authorVázquez, Jesús
dc.contributor.authorValencia, Alfonso
dc.contributor.authorTress, Michael L.
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2018-01-30T11:00:23Z
dc.date.available2018-01-30T11:00:23Z
dc.date.issued2017-10-23
dc.identifier.citationRodriguez, J. M. [et al.]. APPRIS 2017: principal isoforms for multiple gene sets. "Nucleic Acids Research", 23 Octubre 2017, vol. 46, núm. D1, p. D213-D217.
dc.identifier.issn0305-1048
dc.identifier.urihttp://hdl.handle.net/2117/113377
dc.description.abstractThe APPRIS database (http://appris-tools.org) uses protein structural and functional features and information from cross-species conservation to annotate splice isoforms in protein-coding genes. APPRIS selects a single protein isoform, the ‘principal’ isoform, as the reference for each gene based on these annotations. A single main splice isoform reflects the biological reality for most protein coding genes and APPRIS principal isoforms are the best predictors of these main proteins isoforms. Here, we present the updates to the database, new developments that include the addition of three new species (chimpanzee, Drosophila melangaster and Caenorhabditis elegans), the expansion of APPRIS to cover the RefSeq gene set and the UniProtKB proteome for six species and refinements in the core methods that make up the annotation pipeline. In addition APPRIS now provides a measure of reliability for individual principal isoforms and updates with each release of the GENCODE/Ensembl and RefSeq reference sets. The individual GENCODE/Ensembl, RefSeq and UniProtKB reference gene sets for six organisms have been merged to produce common sets of splice variants.
dc.description.sponsorshipNational Institutes of Health [U41 HG007234, 2U41 HG007234]; Spanish Ministry of Economics and Competitiveness [BIO2015-67580-P]; SpanishNational Institute of Bioinformatics (www.inab.org) [INB-ISCIII, PRB2 to J.M.R.]; ProteoRed [IPT13/0001-ISCIII-SGEFI/FEDER to J.V.]; Joint BSC-IRB-CRG Program in Computation Biology and Award Severo Ochoa [SEV 2015-0493 to A.V.]. Funding for open access charge: U.S. Department of Health and Human Services; National Institutes of Health; National Human Genome Research Institute [2U41 HG007234].
dc.format.extent5 p.
dc.language.isoeng
dc.publisherOxford University Press (OUP)
dc.rightsAttribution-NonCommercial-NoDerivs 4.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject.lcshProtein engineering
dc.subject.otherAPPRIS database
dc.subject.otherProteins
dc.subject.otherGENCODE consortium
dc.titleAPPRIS 2017: principal isoforms for multiple gene sets
dc.typeArticle
dc.subject.lemacEnginyeria de proteïnes
dc.identifier.doi10.1093/nar/gkx997
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://academic.oup.com/nar/article/46/D1/D213/4561658
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//BIO2015-67580-P/ES/DESARROLLO DE NUEVAS ESTRATEGIAS EN PROTEOMICA CUANTITATIVA: APLICACION EN INVESTIGACION CARDIOVASCULAR/
local.citation.publicationNameNucleic Acids Research
local.citation.volume46
local.citation.numberD1
local.citation.startingPageD213
local.citation.endingPageD217
dc.identifier.pmid29069475


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