Difference between revisions of "Research"

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(Collaborators)
(Collaborators)
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==Collaborators==
 
==Collaborators==
*[http://www.nature.com Nature]
 
 
 
*Edward Marcotte, University of Texas at Austin, USA
 
*Edward Marcotte, University of Texas at Austin, USA
 
*Andrew Fraser, University of Toronto, Canada
 
*Andrew Fraser, University of Toronto, Canada
Ben Lehner, Systems Biology Unit, EMBL-CRG, Spain
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*Ben Lehner, Systems Biology Unit, EMBL-CRG, Spain
Sue Rhee, Carnegie Institution of Science, USA
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*Sue Rhee, Carnegie Institution of Science, USA
Pamela Ronald, University of California at Davis, USA
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*Pamela Ronald, University of California at Davis, USA
Matthew Hurles, Sanger Institute, UK
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*Matthew Hurles, Sanger Institute, UK
Philip Benfey, Duke University, USA
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*Philip Benfey, Duke University, USA
Sangsun Yoon, Yonsei Medical School, Korea
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*Sangsun Yoon, Yonsei Medical School, Korea
Dongryul Lee, Cha Medical School, Korea
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*Dongryul Lee, Cha Medical School, Korea
Yongsun Bahn, Yonsei University, Korea
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*Yongsun Bahn, Yonsei University, Korea
Sangjun Ha, Yonsei University, Korea
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*Sangjun Ha, Yonsei University, Korea
  
 
==Functional Networks==
 
==Functional Networks==

Revision as of 16:09, 9 April 2011

Research Summary

The ultimate goal of biological research is to manipulate traits that are important for medicine, agriculture, and bio-industry. This challenging task first requires good understanding of association between genotype and phenotype. Because of high complexity of genotype as well as phenotype, complexity of the genotype-phenotype association could be even untouchable by combinatorial explosion of the number of possible associations. Therefore, modern genetics needs to be more systematic and predictive. Recently we proposed network-guided approach for genetics of complex traits. First, we construct probabilistic functional gene networks for cells or organisms by benchmarking and integrating heterogeneous multi-omics data that are in general publicly available. Then, using guilt-by-association, and other algorithms of network propagation of known biological information, we predict gene functions, phenotypic effect of loss-of-function, and epistatic interaction. The information can contribute to reconstruction of map between genotype and phenotype. The network-guided genetics method has been effectively applied for various organisms; from simple microbe yeast, to multicellular animal C. elegans, to the reference plant Arabidopsis, to the reference crop rice, and to the human.

Collaborators

  • Edward Marcotte, University of Texas at Austin, USA
  • Andrew Fraser, University of Toronto, Canada
  • Ben Lehner, Systems Biology Unit, EMBL-CRG, Spain
  • Sue Rhee, Carnegie Institution of Science, USA
  • Pamela Ronald, University of California at Davis, USA
  • Matthew Hurles, Sanger Institute, UK
  • Philip Benfey, Duke University, USA
  • Sangsun Yoon, Yonsei Medical School, Korea
  • Dongryul Lee, Cha Medical School, Korea
  • Yongsun Bahn, Yonsei University, Korea
  • Sangjun Ha, Yonsei University, Korea

Functional Networks

  • Tools FunctionalNetLogo.jpg
    • Tools AraNetLogo.jpg
    • Tools WormNetLogo.jpg
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