MetaCore: Integrated Analysis of Multi-omics Data for Pathway and Network Analysis

  • Registration Closed
  • May 02, 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

MetaCore: Integrated analysis of multi-omics data for pathway and network analysis.



The topic of this training we will introduce more advanced topics in MetaCore for multi-omic analysis. In the first part we analyze metabolite and RNA-seq data to hypothesize which processes are being disrupted in sepsis patients who are progressing towards kidney failure. In the second part we will explore the relationships between miRNA and mRNA expression in systemic scleroderma patients.


Students will learn how to:

   * Upload miRNA and metabolite lists.

   * Perform simultaneous enrichment of metabolite and gene datasets.

   * Build signaling networks to investigate the molecular neighborhood around a molecule or find relationships between experimental data.

   * Build your own pathway maps and use them in enrichment analysis.



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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