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PINTA: A web server for network-based gene prioritization from expression data

  • Daniela Nitsch
  • , Léon-Charles Tranchevent
  • , Joana P. Goncalves
  • , Josef Korbinian Vogt
  • , Sara C. Madeira
  • , Yves Moreau
    • Stichting Katholieke Universiteit
    • Knowledge Discovery and Bioinformatics group

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    PINTA (available at http://www.esat.kuleuven.be/ pinta/; this web site is free and open to all users and there is no login requirement) is a web resource for the prioritization of candidate genes based on the differential expression of their neighborhood in a genome-wide protein–protein interaction network. Our strategy is meant for biological and medical researchers aiming at identifying novel disease genes using disease specific expression data. PINTA supports both candidate gene prioritization (starting from a user defined set of candidate genes) as well as genome-wide gene prioritization and is available for five species (human, mouse, rat, worm and yeast). As input data, PINTA only requires disease specific expression data, whereas various platforms (e.g. Affymetrix) are supported. As a result, PINTA computes a gene ranking and presents the results as a table that can easily be browsed and downloaded by the user.
    Original languageEnglish
    JournalNucleic Acids Research
    Volume39
    Issue numberSuppl. 2
    Pages (from-to)W334-W338
    ISSN0305-1048
    DOIs
    Publication statusPublished - 2011

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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