VerSeDa: vertebrate secretome database

Cortázar, Ana R.; Oguiza Tomé, José Antonio; Aransay, Ana M.; Lavín Trueba, José Luis

Publication:
VerSeDa: vertebrate secretome database

dc.contributor.author	Cortázar, Ana R.	es_ES
dc.contributor.author	Oguiza Tomé, José Antonio
dc.contributor.author	Aransay, Ana M.	es_ES
dc.contributor.author	Lavín Trueba, José Luis
dc.contributor.department	Producción Agraria	es_ES
dc.contributor.department	Nekazaritza Ekoizpena	eu
dc.contributor.funder	Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa	es
dc.date.accessioned	2018-09-04T06:43:43Z
dc.date.available	2018-09-04T06:43:43Z
dc.date.issued	2017
dc.description.abstract	Based on the current tools, de novo secretome (full set of proteins secreted by an organism) prediction is a time consuming bioinformatic task that requires a multifactorial analysis in order to obtain reliable in silico predictions. Hence, to accelerate this process and offer researchers a reliable repository where secretome information can be obtained for vertebrates and model organisms, we have developed VerSeDa (Vertebrate Secretome Database). This freely available database stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites. To our knowledge, VerSeDa is the only state-of-the-art database designed to store secretome data from multiple vertebrate genomes, thus, saving an important amount of time spent in the prediction of protein features that can be retrieved from this repository directly.	en
dc.description.sponsorship	Government of the Basque Country (Etortek Research Programs 2011/2015) and Innovation Technology Department of Bizkaia (to A.R.C., A.M.A., J.L.L.); Spanish National Research Plan (AGL2014-55971-R, to J.A.O.); Public University of Navarre.	en
dc.format.extent	6 p.
dc.format.mimetype	application/pdf	en
dc.format.mimetype	application/zip	en
dc.identifier.doi	10.1093/database/baw171
dc.identifier.issn	1758-0463 (Electronic)
dc.identifier.uri	https://academica-e.unavarra.es/handle/2454/30420
dc.language.iso	eng	en
dc.publisher	Oxford University Press	en
dc.relation.ispartof	Database, 2017, 1–6	en
dc.relation.projectID	info:eu-repo/grantAgreement/MINECO//AGL2014-55971-R/ES/	en
dc.relation.publisherversion	https://doi.org/10.1093/database/baw171
dc.rights	© The Author(s) 2017. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.	en
dc.rights.accessRights	info:eu-repo/semantics/openAccess	en
dc.rights.accessRights	Acceso abierto / Sarbide irekia	es
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	VerSeDa	en
dc.subject	Secretome databases	en
dc.subject	Vertebrate genomes	en
dc.title	VerSeDa: vertebrate secretome database	en
dc.type	info:eu-repo/semantics/article	en
dc.type	Artículo / Artikulua	es
dc.type.version	info:eu-repo/semantics/publishedVersion	en
dc.type.version	Versión publicada / Argitaratu den bertsioa	es
dspace.entity.type	Publication
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