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MetaCore: Enabling Systems Biology Research through Pathway Analysis

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.

Objectives

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)

Benefits

  • 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.

Find more information on how to access the NIH Library license for MetaCore and GAT.

Class registration is no longer available.

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