MetaCore: Enabling Systems Biology Research Through Pathway Analysis

  • Registration Closed
  • May 01, 2018
  • 01:30 PM to 04:30 PM
  • NIH Library Training Room

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data.

The NIH Library provides access to many analysis tools and databases on the bioinformatics workstations. Reservations are required to use the workstations.

Session Description


The topic of this training is analyzing gene expression from CD4+ T-cells in breast cancer patients. By examining the differences in expression between patients with high or low counts of tumor infiltrating leukocytes, we hope to hypothesize potential drug targets and biomarkers.


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 publically available data.

   * Explore Canonical Pathway Maps to find a connection between a gene/protein/drug and a known signaling pathways.

   * Find transcription factors overconnected with differentially expressed genes



MetaCore™ is an integrated 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 by analyzed in tandem. MetaCore™ is based on a proprietary manually-curated database of human protein-protein, protein-DNA and protein-compound interactions, 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 our “virtual lab.”



   * MetaCore’s molecular database now includes over 1.7 million interactions including over 700,000 compounds and their targets.

   * Simplify the generation and prioritization of experimental hypotheses following ‘omics’ or NGS experiments.

   * Assess and validate potential therapeutic targets and disease biomarkers.

   * Analytical tools include easy-to-use workflows and reports.

   * Tools to construct pathways, interaction networks, and ontologies unique to your research.

Supplemental Materials

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