Please use this identifier to cite or link to this item:http://hdl.handle.net/20.500.12105/6551
Title
APPRIS 2017: principal isoforms for multiple gene sets
Author(s)
Rodriguez, Jose Manuel CNIC | Rodriguez Rivas, Juan CNIO | Di Domenico, Tomás | Vazquez, Jesús CNIC | Valencia, Alfonso CNIO | Tress ML, Michael L CNIO
Date issued
2018-01-04
Citation
Nucleic Acids Res. 2018; 46 (D1): D213 - D217.
Language
Inglés
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.
Subject
PROTEIN-CODING GENES | EVOLUTIONARY INFORMATION | FUNCTIONALLY IMPORTANT | SPLICE ISOFORMS | HUMAN GENOME | DATABASE | COMPLEXITY | PREDICTION | TOPOLOGY | PROJECT
Description
FUNDING National Institutes of Health [U41 HG007234, 2U41
HG007234]; Spanish Ministry of Economics and Com-
petitiveness [BIO2015-67580-P]; Spanish National Institute
of Bioinformatics (www.inab.org) [INB-ISCIII, PRB2 toJ.M.R.]; ProteoRed [IPT13/0001-ISCIII-SGEFI/FEDERto J.V.]; Joint BSC-IRB-CRG Program in Computational
Downloaded from https://academic.oup.com/nar/article-abstract/46/D1/D213/4561658 by Spanish National Cancer Research Center user on 30 October 2018
Nucleic Acids Research, 2018, Vol. 46, Database issue
D217
Biology and Award Severo Ochoa [SEV 2015-0493 to
A.V.]. Funding for open access charge: U.S. Depart-
ment of Health and Human Services; National Institutes
of Health; National Human Genome Research Institute
[2U41 HG007234].
Conflict of interest statement.None declared.
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