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Gene-mining based on various kinds of biological interaction network using Cytoscape

초록

영어

Through X-omics researches, a lot of genes with differential expression between control and test could be selected. Lots of genes among them are not functionally annotated and identified. From the systems biology viewpoint, there are highly connected biological networks with scale-free topology among biological identities such as genes, mRNAs, proteins, and metabolites. Hence
unknown genes could be functionally interacted with known genes through interaction networks. Some kind of interaction networks like transcriptional regulatory networks between transcription factor and its regulons, protein-protein interaction networks, genetic networks among genes, integrative gene-metabolite networks, functional interaction networks based on genome context methods like phylogenetic profiling method, Rosetta stone method, gene cluster method and
gene neighbour method, etc could be possibly constructed. In this presentation, some methods to construct biological interaction networks will be explained and some kinds of interaction network maps using Cytoscape will be shown. And also some gene mining based on various kinds of biological interaction networks for the development of industrial microorganisms will be demonstrated.

저자정보

  • Young-Lyeol YANG R&D Center for Bioproducts, CJ Corp

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