PINTA

PINTA prioritizes candidate genes by integrating genome-wide protein-protein interaction networks with disease-specific expression profiles to generate ranked gene lists for functional validation and therapeutic target identification.

Key Features:

• Network-based prioritization: Leverages genome-wide protein-protein interaction networks to evaluate expression profiles surrounding candidate genes.
• Flexible scope: Supports prioritization of predefined candidate genes or genome-wide analyses without prior selection constraints.
• Expression data compatibility: Accepts disease-specific expression data and is compatible with platforms such as Affymetrix.
• Ranking output: Generates ranked lists of genes by integrating differential expression and network connectivity.
• Output format: Produces results in table format suitable for downstream analysis.
• Species support: Supports human, mouse, rat, worm, and yeast.

Scientific Applications:

• Targeted and genome-wide gene prioritization: Enables prioritizing predefined candidates and unbiased genome-wide ranking of genes.
• Functional validation: Provides ranked genes for experimental follow-up and functional studies.
• Therapeutic target identification: Supports identification of candidate therapeutic targets from disease-specific expression data.
• Cross-species research: Applicable to studies in human, mouse, rat, worm, and yeast.

Methodology:

Processes disease-specific expression data (e.g., Affymetrix), evaluates expression profiles surrounding candidate genes using genome-wide protein-protein interaction networks, and integrates differential expression with network connectivity to produce ranked gene lists.