VerSeDa: vertebrate secretome database
Fecha
2017Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Impacto
|
10.1093/database/baw171
Resumen
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 ...
[++]
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. [--]
Materias
VerSeDa,
Secretome databases,
Vertebrate genomes
Editor
Oxford University Press
Publicado en
Database, 2017, 1–6
Departamento
Universidad Pública de Navarra. Departamento de Producción Agraria /
Nafarroako Unibertsitate Publikoa. Nekazaritza Ekoizpena Saila
Versión del editor
Entidades Financiadoras
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.