Prediction of RNA Secondary Structures with Binding Sites Using Dynamic Programming Algorithm
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概要
- 論文の詳細を見る
Noncoding antisense RNAs have recently occupied considerable attention and several computational studies have been made on RNA-RNA interaction prediction. In this technical report, we present novel dynamic programming algorithms for predicting the minimum energy secondary structure with binding sites of one of the two interacting RNAs. Experimental results on several known RNA-RNA interaction data show that our proposed method achieves good performance in accuracy.
- 一般社団法人情報処理学会の論文
- 2009-05-18
著者
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Tatsuya Akutsu
Bioinformatics Center, Institute for Chemical Research, Kyoto University
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Yuki Kato
Bioinformatics Center, Institute for Chemical Research, Kyoto University
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Tatsuya Akutsu
Bioinformatics Center Institute For Chemical Research Kyoto University
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Tatsuya Akutsu
Bioinformatics Center Institute For Chemical Research Kyoto Univerty
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Yuki Kato
Bioinformatics Center Institute For Chemical Research Kyoto University
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Unyanee Poolsap
Bioinformatics Center, Institute for Chemical Research, Kyoto University
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Kato Yuki
Bioinformatics Center Institute For Chemical Research Kyoto University
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Unyanee Poolsap
Bioinformatics Center Institute For Chemical Research Kyoto University
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