Research on structure predictions of RNA with modified nucleotieds
| Project/Area Number |
24680031
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Partial Multi-year Fund |
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| Research Field |
Bioinformatics/Life informatics
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| Research Institution | Waseda University (2014-2015)
The University of Tokyo (2012-2013) |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥14,300,000 (Direct Cost: ¥11,000,000、Indirect Cost: ¥3,300,000)
Fiscal Year 2014: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2013: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2012: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
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| Keywords | RNA / ２次構造予測 / 修飾塩基 / 学習モデル / 確率モデル / 半教師有り学習 / ２次構造 / 半教師有学習 / 2次構造予測 / lncRNA / 機能性RNA / 分子シミュレーション / 2次構造 / 機械学習 |
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| Outline of Final Research Achievements |
We have developed bioinformatic methods for predicting secondary structures including modified bases. Due to the limitation of the known structures with modified bases, we employed a semi-supervised learning approach for predicting RNA secondary structures using RNA sequences with and without secondary structures. Moreover, we have developed an integrated web server, Rtools, for performing various analyses based on RNA secondary structures.
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Report
(5 results)
Research Products
(17 results)
