Using pathway analysis in MetaCore/GeneGO to evaluate glioma subtypes from public gene expression data
MetaCore from GeneGo is an integrated software suite for functional analysis of microarray, metabolic, SAGE, proteomics, siRNA, microRNA, and screening data. MetaCore is based on a high-quality, manually-curated database of:
- Transcription factors, receptors, ligands, kinases, drugs, and endogenous metabolites
- Species-specific directional interactions between protein-protein, protein-DNA and protein-RNA, drug targeting, and bioactive molecules and their effects
- Signaling and metabolic pathways represented on maps and networks
- Rich ontologies for diseases and processes with hierarchical or graphic output
Using a dataset for gene expression profiling in human glial brain tumors, this hands-on class will show how one can analyze Pathway Maps and build custom networks.