PINTA
A web server for network-based gene prioritization from expression data
Daniela Nitsch (Katholieke Universiteit Leuven)
Léon-Charles Tranchevent (Katholieke Universiteit Leuven)
Joana P. Goncalves (INESC-ID, Universidade Técnica de Lisboa)
Josef Korbinian Vogt (Technical University of Denmark (DTU))
Sara C. Madeira (INESC-ID, Universidade Técnica de Lisboa)
Yves Moreau (Katholieke Universiteit Leuven)
More Info
expand_more
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.