PiNGO

PiNGO identifies candidate genes within biological networks associated with user-defined Gene Ontology (GO) categories.

Key Features:

• Integration with Cytoscape: Operates as a plugin for Cytoscape to perform network-based analyses.
• Network screening and gene prediction: Screens biological networks and predicts genes potentially involved in specified biological processes.
• Customizable search parameters: Allows inclusion or exclusion of genes based on known functions or specified functional classes.
• Organism and ontology support: Supports multiple organisms and Gene Ontology classification schemes and can be customized to accommodate additional organisms and functional classifications.
• Java implementation: Implemented as a Java application.

Scientific Applications:

• Systems biology and genomics: Identification of network-associated candidate genes for systems-level and genomics studies.
• Functional genomics: Prediction and assignment of gene functions within network contexts and exploration of genetic pathways.
• Disease mechanism studies: Identification of genes linked to GO categories to investigate molecular mechanisms underlying disease.
• Drug discovery: Prioritization of candidate genes as potential targets in drug discovery efforts.
• Hypothesis generation and experimental planning: Generation of candidate gene hypotheses to inform experimental design.

Methodology:

Implemented as a Java-based Cytoscape plugin that screens biological networks using Gene Ontology (GO) classifications to predict candidate genes and provides options to include or exclude genes based on known functions or functional classes.