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Kengo Sato

Researcher at Keio University

Publications -  82
Citations -  3503

Kengo Sato is an academic researcher from Keio University. The author has contributed to research in topics: Structural alignment & RNA. The author has an hindex of 21, co-authored 76 publications receiving 2759 citations. Previous affiliations of Kengo Sato include Intec, Inc. & University of Tokyo.

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Adaptive seeds tame genomic sequence comparison.

TL;DR: LAST, the open source implementation of adaptive seeds, enables fast and sensitive comparison of large sequences with arbitrarily nonuniform composition, and guarantees that the number of matches increases linearly, instead of quadratically, with sequence length.
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CentroidFold: a web server for RNA secondary structure prediction

TL;DR: The CentroidFold web server is a web application for RNA secondary structure prediction powered by one of the most accurate prediction engine which scores the best accuracy in the authors' benchmark results.
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IPknot: fast and accurate prediction of RNA secondary structures with pseudoknots using integer programming

TL;DR: IPknot decomposes a pseudoknotted structure into a set of pseudoknot-free substructures and approximates a base-pairing probability distribution that considers Pseudoknots, leading to the capability of modeling a wide class of pseudOKnots and running quite fast.
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Prediction of RNA secondary structure using generalized centroid estimators

TL;DR: Novel estimators are proposed which improve the accuracy of secondary structure prediction of RNAs and represent extensions of the centroid estimators proposed in Ding et al. and Carvalho and Lawrence, and are applicable to a wide variety of problems in bioinformatics.