Pharma and Biotech $1,000, Academic $250

By the end of the day you will have a basic understanding of systems biology, pathway analysis and be able to use MetaCore for data mining and experimental data analysis.

Limited space available so reserve your seat today!

Call 1 858 756 7996 or email training@genego.com or click here to download the registration form.

Dates and Locations:

• Cambridge, England: September 22, 2009, 8:30 am - 5:00 pm
  
  Wellcome Trust Conference Centre
  Hinxton
  Cambridge CB10 1RQ
  United Kingdom
  
  Rosalind Franklin Pavillion IT Room
  
  Directions can be found under the location tab on the following website: www.wtconference.org.uk
  
  Rooms may be available at the Wellcome Trust Conference Centre. Cost is £95 for single bed and breakfast and must be booked directly through them.
  
  Contact training@genego.com for agenda and details.

Introduction to Systems Biology with GeneGo

Since the introduction of microarray technology, high-throughput data and its analysis have become an integral part of disease biology research. The “OMICs” field has expanded to include proteomics, metabolomics, genotyping, allowing scientists to easily interrogate mechanisms of complex diseases on multiple molecular levels concurrently: from DNA, to gene expression, to protein behavior and metabolite imbalances. However, the OMICS era analysis begs the need for tools to analyze and prioritize the biological relevance of this information. GeneGo provides a solution with MetaCore.

This course begins by introducing systems biology, addresses data collection, how statistics are used to normalize data and elaborate on the need for functional analysis with MetaCore. The first session focuses on learning the basics: data manager capabilities, how to upload, batch uploading, store, share and check data properties and signal distribution. We will then focus on how MetaCore uses your gene list to extract functional relevance by determining the most enriched processes across several ontologies. This entails a detailed lesson on how to prioritize your hypothesis using the statistically significant enrichment histograms and associate highly interactive GeneGo Maps and pre-built networks. In addition to learning the basics, the last session of the day is designed to highlight how to approach a relevant clinical application such as biomarker identification from several angles. The full day course is designed to provide an interactive learning environment where each session begins with a brief how-to-overview to facilitate the breakout work sessions that follow. Attendees will also have the opportunity to present their findings.

More details to be announced