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2015 Fiscal Year Final Research Report

Research on structure predictions of RNA with modified nucleotieds

Research Project

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Project/Area Number 24680031
Research Category

Grant-in-Aid for Young Scientists (A)

Allocation TypePartial Multi-year Fund
Research Field Bioinformatics/Life informatics
Research InstitutionWaseda University (2014-2015)
The University of Tokyo (2012-2013)

Principal Investigator

Hamada Michiaki  早稲田大学, 理工学術院, 准教授 (00596538)

Project Period (FY) 2012-04-01 – 2016-03-31
KeywordsRNA / 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.

Free Research Field

バイオインフォマティクス

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Published: 2017-05-10  

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