2015 Fiscal Year Final Research Report
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 |
Research Field |
Bioinformatics/Life informatics
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Research Institution | Waseda University (2014-2015) The University of Tokyo (2012-2013) |
Principal Investigator |
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Project Period (FY) |
2012-04-01 – 2016-03-31
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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 |
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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Free Research Field |
バイオインフォマティクス
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