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PsyGeNET: a knowledge platform on psychiatric disorders and their genes.


ABSTRACT:

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PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a web interface supporting data search, visualization, filtering and sharing. PsyGeNET integrates information from DisGeNET and data extracted from the literature by text mining, which has been curated by domain experts. It currently contains 2642 associations between 1271 genes and 37 psychiatric disease concepts. In its first release, PsyGeNET is focused on three psychiatric disorders: major depression, alcohol and cocaine use disorders. PsyGeNET represents a comprehensive, open access resource for the analysis of the molecular mechanisms underpinning psychiatric disorders and their comorbidities.

Availability and implementation

The PysGeNET platform is freely available at http://www.psygenet.org/. The PsyGeNET database is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/).

Contact

lfurlong@imim.es

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Gutierrez-Sacristan A 

PROVIDER: S-EPMC4565028 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Publications

PsyGeNET: a knowledge platform on psychiatric disorders and their genes.

Gutiérrez-Sacristán Alba A   Grosdidier Solène S   Valverde Olga O   Torrens Marta M   Bravo Àlex À   Piñero Janet J   Sanz Ferran F   Furlong Laura I LI  

Bioinformatics (Oxford, England) 20150511 18


<h4>Unlabelled</h4>PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a web interface supporting data search, visualization, filtering and sharing. PsyGeNET integrates information from DisGeNET and data extracted from the literature by text mining, which has been curated by domain experts. It currently contains 2642 associations between 1271  ...[more]

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