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| − | =='''Research Summary'''==
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| − | <div style="float:right;margin:5px 40px;">{{#widget:AddHtml|content=<img src="../wiki/cloud.jpg" alt="Word Cloud from Abstraction below publications" title="Word Cloud of NBL Publications' Abstract" />}}</div>
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| − | 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.</div>
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| − | =='''Research Highlight'''==
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| − | *[[media:research_highlight_004.pdf|2011 Nature Reviews Genetics, Research highlight (Predicting genetic interaction)]]
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| − | *[[media:research_highlight_002.pdf|2008 Bioessay, What the papers say (WormNet)]]
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| − | *[[media:research_highlight_003.pdf|2008 Genome Biology, Minireview (WormNet)]]
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| − | *[[media:research_highlight_001.pdf|2008 Nature methods, Research highlight (WormNet)]]
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| − | *[[media:Gallery_NGcover_SmallVer.jpg|2008 Nature Genetics coverstory (WormNet): Network perturbation predicts phenotype]]
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