PANEV

PANEV visualizes and maps genes onto multi-level upstream and downstream KEGG pathways to generate network graphs that contextualize candidate genes from genomic or transcriptomic data across species.

Key Features:

• Network Visualization: Visualizes genes within a network composed of multiple interconnected levels of upstream and downstream pathways to explore interactions among pathways.
• KEGG Integration: Maps genes onto pathways from KEGG to provide a framework for interpreting functional profiles of gene clusters.
• Species-Independent Analysis: Analyzes genomic or transcriptomic data across different organisms without species constraints.
• User Customization: Accepts candidate gene input, allows specification of target pathways, and defines the number of interconnected upstream and downstream pathway levels.

Scientific Applications:

• Multi-level pathway network construction: Constructs networks connecting multiple pathways to enable investigation of complex biological phenomena.
• Functional candidate gene identification: Identifies functional candidate genes that may influence traits or conditions by placing them within pathway networks.
• Systems biology interpretation: Elucidates gene function within broader biological contexts by integrating pathway connections.

Methodology:

Users input candidate genes and define target pathways and the number of interconnected upstream and downstream pathway levels; PANEV maps genes to KEGG pathways and generates a network graph representing these multi-level connections.