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Related Experiment Video

Updated: Jun 1, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

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

Daniela Nitsch1, Léon-Charles Tranchevent, Joana P Gonçalves

  • 1Department of Electrical Engineering (ESAT-SCD), Katholieke Universiteit Leuven, 3001 Leuven, Belgium.

Nucleic Acids Research
|May 24, 2011
PubMed
Summary
This summary is machine-generated.

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PINTA prioritizes candidate genes using gene expression and protein interaction data. This tool helps researchers discover novel disease genes by analyzing genome-wide networks.

Area of Science:

  • Bioinformatics
  • Genomics
  • Systems Biology

Background:

  • Identifying novel disease genes is crucial for medical research.
  • Genome-wide protein-protein interaction networks offer insights into gene function.
  • Differential gene expression data can highlight disease-related genes.

Purpose of the Study:

  • To present PINTA, a web resource for prioritizing candidate genes.
  • To enable researchers to identify novel disease genes using gene expression data.
  • To support both candidate and genome-wide gene prioritization.

Main Methods:

  • PINTA analyzes differential gene expression data within the context of protein-protein interaction networks.
  • The web resource supports five species: human, mouse, rat, worm, and yeast.

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Last Updated: Jun 1, 2026

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  • It accepts various expression data platforms, such as Affymetrix.

    • Main Results:

    • PINTA computes a prioritized gene ranking based on network analysis.
    • Results are presented in an easily browsable and downloadable table format.
    • The tool facilitates the identification of potential disease-associated genes.

    Conclusions:

    • PINTA provides a valuable strategy for disease gene discovery.
    • The web resource simplifies the analysis of complex genomic and interaction data.
    • It empowers biological and medical researchers with a novel gene prioritization tool.