GeneGo MetaCore Tutorial, Friday 9/10/2010

GeneGo MetaCore Tutorial, Friday 9/10/2010

GeneGo MetaCore Tutorial

GeneGo provides a solution for using “omics” gene lists to generate and prioritize hypotheses with MetaCore. This tutorial highlights how to work with different types of data (genomics, proteomics, metabolomics and interaction data).  Read more for details.

Friday, September 10, 2010  |  9:30 AM-1:00 PM
Dominion Tower, Room 1003
1400 NW 10th Avenue, Miami, FL 33136
(click here for map/directions)

Limited SeatingDominion Tower


9:30-10:30 AM Beginner Level: Getting started with Metacore

Learn how to:

  • Upload gene lists and expression data (if available)
  • Share data and check data properties and signal distribution
  • Extract functional relevance by determining the most enriched processes across several ontologies
  • Prioritize your hypotheses using the statistically significance enrichment histograms
  • Use interactive GeneGo Maps and pre-built networks

10:30 AM-12:00 PM Network Building and interactome tools

One aspect of systems biology is to integrate complex interactions of biological systems and address connectivity. GeneGo provides a highly annotated and dense interaction database with over ten different network building algorithms and 6 different interactome tools for this purpose. Here we demonstrate the strength of these tools in the ability to visualize signaling interaction networks and expand on your hypotheses outside of the realm of your core research areas. This tutorial will cover:

  • A description and examples for each network building and interactome algorithm
  • How to optimize the visualization of your interactions of interest on a network
  • How to determine central hugs of regulation
  • How to use the add/ hide/show objects tools on a network
  • How to use post-filters such as disease, tissue, orthologs or gene otology processes
  • How to obtain inter- and intra-connectivity information about your data
  • How avoid literature bias –connectivity to drive hypotheses further

12:00-1:00 PM Bring your data:  Q & A time!

Seats are limited. Please RSVP by emailing