Kengo Sato
Kengo Sato
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Cited by
Adaptive seeds tame genomic sequence comparison
SM Kiełbasa, R Wan, K Sato, P Horton, MC Frith
Genome research 21 (3), 487-493, 2011
CentroidFold: a web server for RNA secondary structure prediction
K Sato, M Hamada, K Asai, T Mituyama
Nucleic acids research 37 (suppl_2), W277-W280, 2009
Prediction of RNA secondary structure using generalized centroid estimators
M Hamada, H Kiryu, K Sato, T Mituyama, K Asai
Bioinformatics 25 (4), 465-473, 2009
IPknot: fast and accurate prediction of RNA secondary structures with pseudoknots using integer programming
K Sato, Y Kato, M Hamada, T Akutsu, K Asai
Bioinformatics 27 (13), i85-i93, 2011
RNA secondary structural alignment with conditional random fields
K Sato, Y Sakakibara
Bioinformatics 21 (suppl 2), ii237-ii242, 2005
Generation of a nonhuman primate model of severe combined immunodeficiency using highly efficient genome editing
K Sato, R Oiwa, W Kumita, R Henry, T Sakuma, R Ito, R Nozu, T Inoue, ...
Cell stem cell 19 (1), 127-138, 2016
Pair stochastic tree adjoining grammars for aligning and predicting pseudoknot RNA structures
H Matsui, K Sato, Y Sakakibara
Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings …, 2004
RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming
Y Kato, K Sato, M Hamada, Y Watanabe, K Asai, T Akutsu
Bioinformatics 26 (18), i460-i466, 2010
MetaVelvet-SL: an extension of the Velvet assembler to a de novo metagenomic assembler utilizing supervised learning
K Sato, Y Sakakibara
DNA research 22 (1), 69-77, 2015
Improving the accuracy of predicting secondary structure for aligned RNA sequences
M Hamada, K Sato, K Asai
Nucleic acids research 39 (2), 393-402, 2011
CentroidAlign: fast and accurate aligner for structured RNAs by maximizing expected sum-of-pairs score
M Hamada, K Sato, H Kiryu, T Mituyama, K Asai
Bioinformatics 25 (24), 3236-3243, 2009
Predictions of RNA secondary structure by combining homologous sequence information
M Hamada, K Sato, H Kiryu, T Mituyama, K Asai
Bioinformatics 25 (12), i330-i338, 2009
Convolutional neural network based on SMILES representation of compounds for detecting chemical motif
M Hirohara, Y Saito, Y Koda, K Sato, Y Sakakibara
BMC bioinformatics 19 (19), 83-94, 2018
DAFS: simultaneous aligning and folding of RNA sequences via dual decomposition
K Sato, Y Kato, T Akutsu, K Asai, Y Sakakibara
Bioinformatics 28 (24), 3218-3224, 2012
Resequencing of the common marmoset genome improves genome assemblies and gene-coding sequence analysis
K Sato, Y Kuroki, W Kumita, A Fujiyama, A Toyoda, J Kawai, A Iriki, ...
Scientific reports 5 (1), 1-8, 2015
Whole genome complete resequencing of Bacillus subtilis natto by combining long reads with high-quality short reads
M Kamada, S Hase, K Sato, A Toyoda, A Fujiyama, Y Sakakibara
PloS one 9 (10), e109999, 2014
Stem kernels for RNA sequence analyses
Y Sakakibara, K Popendorf, N Ogawa, K Asai, K Sato
Journal of bioinformatics and computational biology 5 (05), 1103-1122, 2007
Prediction of RNA secondary structure by maximizing pseudo-expected accuracy
M Hamada, K Sato, K Asai
BMC bioinformatics 11 (1), 1-10, 2010
Whole-genome sequencing and comparative genome analysis of Bacillus subtilis strains isolated from non-salted fermented soybean foods
M Kamada, S Hase, K Fujii, M Miyake, K Sato, K Kimura, Y Sakakibara
PloS one 10 (10), e0141369, 2015
An efficient algorithm for de novo predictions of biochemical pathways between chemical compounds
M Nakamura, T Hachiya, Y Saito, K Sato, Y Sakakibara
BMC bioinformatics 13 (17), 1-12, 2012
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