The NIH Library Bioinformatics Support Program is offering "MetaCore: Enabling Systems Biology Research through Pathway Analysis" on September 2. The free training will be held in the NIH Library Training Room, Building 10, from 1 to 4 p.m. Registration is required (use the link provided below).
MetaCore™ is a web-based curated knowledge database and software suite for pathway analysis of experimental data and gene lists. The scope of data types includes microarray and sequence-based gene expression, SNPs and CGH arrays, RNAi screens, gene variants, proteomics, metabolomics, Co-IP pull-out, and other custom interactions which can all be analyzed in tandem. It includes over a million interactions including over 700,000 compounds and their targets.
MetaCore™ is based on a proprietary, manually curated, database of human protein-protein, protein-DNA, and protein-compound interactions, and metabolic and signaling pathways for human, mouse, and rat, supported by proprietary ontologies and controlled vocabulary. The analytical package includes easy-to-use, intuitive tools for searching and data visualization, enabling the identification of the most relevant biological pathways, networks, and processes in a "virtual lab."
The Genomic Analysis Tools (GAT) help users upload gene variant files, run genotype analysis, filter/annotate variants, and perform downstream analysis of their filtered variants.
Students will learn how to:
- Knowledge mine for gene, protein, disease, and compound information with supporting journal references
- Upload gene lists and expression data and filter on ontologies or significance
- Perform functional enrichment of their own data or quality controlled, publicly available, data
- Explore Canonical Pathway Maps to find a connection between a gene/protein/drug and a known signaling pathway
- Build signaling networks to investigate the molecular neighborhood around a molecule (optional)
- Use the Genomic Analysis Tools to upload, compare, and analyze gene variants (optional)
- Simplify the generation and prioritization of experimental hypotheses following “omics” or NGS experiments
- Assess and validate potential therapeutic targets and disease biomarkers
- Learn about easy-to-use workflows and reports
The instructor will be available to answer questions and to consult about specific problems and projects after the class, from 4 to 5 p.m.
This class will be taught by MetaCore research staff and is open to NIH staff.
Class registration is no longer available.