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APPRIS 2017: principal isoforms for multiple gene sets
dc.contributor.author | Rodriguez, Jose M. |
dc.contributor.author | Rodriguez-Rivas, Juan |
dc.contributor.author | di Domenico, Tomás |
dc.contributor.author | Vázquez, Jesús |
dc.contributor.author | Valencia, Alfonso |
dc.contributor.author | Tress, Michael L. |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2018-01-30T11:00:23Z |
dc.date.available | 2018-01-30T11:00:23Z |
dc.date.issued | 2017-10-23 |
dc.identifier.citation | Rodriguez, 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.issn | 0305-1048 |
dc.identifier.uri | http://hdl.handle.net/2117/113377 |
dc.description.abstract | The 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.sponsorship | National 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.extent | 5 p. |
dc.language.iso | eng |
dc.publisher | Oxford University Press (OUP) |
dc.rights | Attribution-NonCommercial-NoDerivs 4.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica |
dc.subject.lcsh | Protein engineering |
dc.subject.other | APPRIS database |
dc.subject.other | Proteins |
dc.subject.other | GENCODE consortium |
dc.title | APPRIS 2017: principal isoforms for multiple gene sets |
dc.type | Article |
dc.subject.lemac | Enginyeria de proteïnes |
dc.identifier.doi | 10.1093/nar/gkx997 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://academic.oup.com/nar/article/46/D1/D213/4561658 |
dc.rights.access | Open Access |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//BIO2015-67580-P/ES/DESARROLLO DE NUEVAS ESTRATEGIAS EN PROTEOMICA CUANTITATIVA: APLICACION EN INVESTIGACION CARDIOVASCULAR/ |
local.citation.publicationName | Nucleic Acids Research |
local.citation.volume | 46 |
local.citation.number | D1 |
local.citation.startingPage | D213 |
local.citation.endingPage | D217 |
dc.identifier.pmid | 29069475 |
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