Translog: How estimate the function of a gene whose seuqnece is unique
| Project/Area Number |
24651227
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
System genome science
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
SESE Jun 東京工業大学, 情報理工学(系)研究科, 准教授 (40361539)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | ネットワーク / 比較ゲノム / バイオインフォマィテクス / バイオインフォマティクス |
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| Research Abstract |
This study developed a method to estimate the functions of genes using similarity of network structure, not using sequence similarity which has been currently mainly used. To this purpose, we developed the method ANGIE which can compare global network structure. Given two different networks, the ANGIE tries to find a brief network structure on each network so that the two brief graphs are similar to each other. Since our initial experimental result showed that the aligned result is far from biological knowledge, we improve the ANGIE so as to give prior similarity knowledge of genes between two species, such as sequence similarity. We applied the ANGIE to yeast and drosophila networks, generated from protein-protein interactions or expression similarity, and the result suggested new functions of genes.
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Report
(3 results)
Research Products
(4 results)
