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

Journal: Bioinformatics (Oxford, England)
Published Date: May 11, 2015

Abstract

UNLABELLED: 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.

Authors

  • Alba Gutiérrez-Sacristán
    Research Group on Integrative Biomedical Informatics, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra (UPF), Neurobiology of Behaviour Research Group (GReNeC), IMIM, DCEXS, UPF and Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Universitat Autònoma de Barcelona, Barcelona 08003, Spain.
  • Solène Grosdidier
    Research Group on Integrative Biomedical Informatics, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra (UPF), Neurobiology of Behaviour Research Group (GReNeC), IMIM, DCEXS, UPF and Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Universitat Autònoma de Barcelona, Barcelona 08003, Spain.
  • Olga Valverde
    Research Group on Integrative Biomedical Informatics, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra (UPF), Neurobiology of Behaviour Research Group (GReNeC), IMIM, DCEXS, UPF and Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Universitat Autònoma de Barcelona, Barcelona 08003, Spain.
  • Marta Torrens
    Research Group on Integrative Biomedical Informatics, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra (UPF), Neurobiology of Behaviour Research Group (GReNeC), IMIM, DCEXS, UPF and Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Universitat Autònoma de Barcelona, Barcelona 08003, Spain.
  • Àlex Bravo
    Research Programme on Biomedical Informatics (GRIB), IMIM-Universitat Pompeu Fabra, Barcelona, Spain.
  • Janet Piñero
    Medbioinformatics Solutions SL, Barcelona, Spain.
  • Ferran Sanz
    Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain.
  • Laura I Furlong
    Medbioinformatics Solutions SL, Barcelona, Spain.

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