R spider

Network-based pathway analysis of gene lists

R_spider maps user-supplied gene lists onto KEGG and Reactome pathway databases to identify significant biological processes and interactions using a network-based statistical framework.

Key Features:

• Integration with KEGG and Reactome: Incorporates curated pathway and reaction data from KEGG and Reactome to contextualize genes within established biological pathways.
• Network-Based Statistical Framework: Applies network-based statistical analysis to detect global relationships, direct interactions, and indirect associations among mapped genes.
• Support for Multiple Gene Identifiers: Accepts diverse gene identifier formats to enable flexible gene list analysis.

Scientific Applications:

• Systems Biology and Functional Genomics: Identifies pathway-level associations and gene interaction networks to support interpretation of high-throughput genomic data and hypothesis generation.

Methodology:

R_spider systematically maps input genes onto KEGG and Reactome pathways and evaluates connectivity using a network-based statistical model to detect enriched biological processes and both direct and indirect gene relationships.