Difference between revisions of "Research"
(→Collaborators) |
(→Collaborators) |
||
| Line 32: | Line 32: | ||
*[http://cropgeneticsinnovation.org/ Pamela Ronald, University of California at Davis, USA] | *[http://cropgeneticsinnovation.org/ Pamela Ronald, University of California at Davis, USA] | ||
*[http://www.biology.duke.edu/benfeylab/index.htm Philip Benfey, Duke University, USA] | *[http://www.biology.duke.edu/benfeylab/index.htm Philip Benfey, Duke University, USA] | ||
| − | *[http://bti.cornell.edu/TomBrutnell.php#page=ResearchSummary, Thomas Brutnell, | + | *[http://bti.cornell.edu/TomBrutnell.php#page=ResearchSummary, Thomas Brutnell, Danforth Plant Science Center, USA] |
| − | *Sangdong Yoo, | + | *Sangdong Yoo, Korea University, Korea |
'''Microbial Systems Biology''' | '''Microbial Systems Biology''' | ||
*[http://www.bahnlab.com/ Yongsun Bahn, Yonsei University, Korea] | *[http://www.bahnlab.com/ Yongsun Bahn, Yonsei University, Korea] | ||
*Sangsun Yoon, Yonsei Medical School, Korea | *Sangsun Yoon, Yonsei Medical School, Korea | ||
Revision as of 21:51, 3 March 2013
Contents |
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.
Research Philosophy
4P Science (Play, Ponder, Pride, Provide)
- Play: Your lab is your intellectual playground.
- Ponder: Think harder for less labor.
- Pride: Be proud of being a scientist.
- Provide: Do your science for the people.
The more learn, the less know.
Research Highlight
- 2011 Nature Reviews Genetics, Research highlight (Predicting genetic interaction)
- 2008 Bioessay, What the papers say (WormNet)
- 2008 Genome Biology, Minireview (WormNet)
- 2008 Nature methods, Research highlight (WormNet)
- 2008 Nature Genetics coverstory (WormNet): Network perturbation predicts phenotype
Collaborators
Human/Animal Systems Biology
- Edward Marcotte, University of Texas at Austin, USA
- Andrew Fraser, University of Toronto, Canada
- Ben Lehner, Systems Biology Unit, EMBL-CRG, Spain
- Matthew Hurles, Sanger Institute, UK
- Jonghoon Kim, Korea University, Korea
- Dongryul Lee, Cha Medical School, Korea
- Sangjun Ha, Yonsei University, Korea
Crop/Plant Systems Biology
- Sue Rhee, Carnegie Institution of Science, USA
- Pamela Ronald, University of California at Davis, USA
- Philip Benfey, Duke University, USA
- Thomas Brutnell, Danforth Plant Science Center, USA
- Sangdong Yoo, Korea University, Korea
Microbial Systems Biology
- Yongsun Bahn, Yonsei University, Korea
- Sangsun Yoon, Yonsei Medical School, Korea
