Sato Laboratory (Biomedical Data Science)
Sato Laboratory (Biomedical Data Science)
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Michiaki Hamada
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Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery
Rtools: a web server for various secondary structural analyses on single RNA sequences
CentroidHomfold-LAST: accurate prediction of RNA secondary structure using automatically collected homologous sequences
IPknot: fast and accurate prediction of RNA secondary structures with pseudoknots using integer programming
Improving the accuracy of predicting secondary structure for aligned RNA sequences
Prediction of RNA secondary structure by maximizing pseudo-expected accuracy
RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming
A non-parametric Bayesian approach for predicting RNA secondary structures
CENTROIDFOLD: a web server for RNA secondary structure prediction
Predictions of RNA secondary structure by combining homologous sequence information
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