IMP

IMP predicts cross-species functional relationships to interpret and expand experimental gene sets using integrated high-throughput data and functional gene networks.

Key Features:

• Cross-Organism Functional Network Analysis: Integrates large-scale functional predictions and gene networks across organisms to analyze candidate gene sets.
• Interactive Visualization Tools: Provides visualizations to compare the functional contexts of gene sets across different species.
• Homolog Identification for Knowledge Transfer: Identifies homologs with conserved functional roles to transfer annotations and improve function predictions.
• Multi-Species Support: Supports Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Drosophila melanogaster (fruit fly), Danio rerio (zebrafish), Caenorhabditis elegans (nematode), and Saccharomyces cerevisiae (yeast) for comparative analyses.

Scientific Applications:

• Hypothesis Generation and Experimental Interpretation: Generates hypotheses and interprets experimental results within the context of integrated functional networks.
• Comparative and Evolutionary Studies: Enables comparison of gene functions across species to support evolutionary biology, functional genomics, and systems biology research.
• Function Prediction for Poorly Annotated Processes: Predicts gene function based on conserved homologs to annotate processes lacking extensive experimental data.

Methodology:

Leverages integrated high-throughput data to mine and expand functional gene networks, perform cross-species functional predictions, and identify conserved homologs for knowledge transfer.