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PSSMTS: position specific scoring matrices on tree structures
Identifying non-coding RNA regions on the genome using computational methods is currently receiving a lot of attention. In general, it …
Kengo Sato, Kensuke Morita, Yasubumi Sakakibara
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Stem kernels for RNA sequence analyses
Several computational methods based on stochastic context-free grammars have been developed for modeling and analyzing functional RNA …
Yasubumi Sakakibara, Kris Popendorf, Nana Ogawa, Kiyoshi Asai, Kengo Sato
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RNA secondary structural alignment with conditional random fields
MOTIVATION: The computational identification of non-coding RNA regions on the genome is currently receiving much attention. However, it …
Kengo Sato, Yasubumi Sakakibara
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Pair stochastic tree adjoining grammars for aligning and predicting pseudoknot RNA structures
MOTIVATION: Since the whole genome sequences of many species have been determined, computational prediction of RNA secondary structures …
Hiroshi Matsui, Kengo Sato, Yasubumi Sakakibara
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