August 2nd: How to choose the right network building or interactome algorithm to test and expand your hypothesis
August 16th: Investigating mechanisms of chemical toxicity using MetaCore

Joanna Betts, Senior Scientific Investigator, Glaxo Smith Kline
Date: September 30th , 2010
Time: 11am PDT/2pm EDT
Title: Hunting for correctors of cystic fibrosis using existing data and systems biology thinking
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GeneGo is Awarded NCI Grant for Development of Systems Biology Platform for Integrative Data Analysis in Cancerpetitive Strategy Leadership Award...
June 10, 2010
GeneGo Publication Designated Highly Accessed by BioMed Central ...
March 8, 2010
GeneGo Releases Content and Tools from Industry-FDA Driven MetaTox Partnership via ToxHunter ...
Want to know what our customers have to say about GeneGo?

“Biologist see the importance of looking at the circuitry rather than just simple wiring. That is why MetaCore™ interactions are so much more powerful as they have directionality, show effect and mechanism of interaction all validated with papers one click away”.

“We compared several platforms before we finally decided on GeneGo. MetaCore™ has broad and deep, high quality content coverage, which was important to us. Furthermore its ability to work with mixed ID's is critical for our internal R&D work and service offerings based on our unique DSA™ (patent pending) research tools” said Dr Vitali Proutski, Bioinformatics Manager at Almac Diagnostics. “We were also very impressed by GeneGo's responsiveness and strong customer support which we feel is vital in relationships with our partners.”

More on GeneGo’s pathway analysis tools...
Try the New Hidden Nodes Algorithm
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The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models | read

Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to generate predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans. In total, >30,000 models were built using many combinations of analytical methods. The teams generated predictive models without knowing the biological meaning of some of the endpoints and, to mimic clinical reality, tested the models on data that had not been used for training. We found that model performance depended largely on the endpoint and team proficiency and that different approaches generated models of similar performance. The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis.

MetaDrug Case Studies

Vioxx® - drug repurposing, side effects (3:12 min)
Mebendazole - MOA, expression data, repurposing (3:24 min)
Alzheimer’s drugs - drug comparison, off-target effects (2:58 min)
Stem cell proliferators - chemical library profiling, MOA, toxicity (3:32 min)

OmicSoft products now available from GeneGo... Get your FREE Trial today | Read more

Protein Networks and Pathway Analysis  

Edited by Yuri Nikolsky and Julie Bryant, GeneGo, Inc.

Available on Amazon.com

Job postings for Systems Biology careers in the community.

 
GeneGo and the Cystic Fibrosis Foundation collaborated to develop a unique cystic fibrosis pathway analysis platform as part of GeneGo's MetaMiner disease specific partnership program. For more details on this bioinformatics software application please download the white paper.

If you would like to make a donation to the Cystic Fibrosis Foundation to help find a cure please click here

Pathway Analysis Applications for Systems Biology

GeneGo’s unique systems reconstruction technology for systems biology enables complete reconstruction of mammalian cellular functionality from high fidelity “benchmark” interactions data at all three levels:

Stimuli (ligand-receptor interactions)
Cell signaling and regulation
Effect (core metabolism)
Through our pathway analysis software & knowledge mining applications, experimental data is analyzed in our systems reconstruction framework to deduce the pathways, genes, proteins and metabolites most relevant for the disease and condition.