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Kengo Sato

Showing results (1-10 of 158) with videos related to

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Briefings in Bioinformatics|October 3, 2021
Prediction of RNA secondary structure including pseudoknots for long sequencesKengo Sato, Yuki Kato
Methods in Molecular Biology (Clifton, N.J.)|November 1, 2025
Prediction of RNA Joint Secondary Structures Based on Integer ProgrammingYuki Kato, Kengo Sato
Nutrition, Metabolism, and Cardiovascular Diseases : NMCD|May 16, 2020
Roles of the kisspeptin/GPR54 system in pathomechanisms of atherosclerosisTakuya Watanabe, Kengo Sato
Bioinformatics (Oxford, England)|October 6, 2005
RNA secondary structural alignment with conditional random fieldsKengo Sato, Yasubumi Sakakibara
Methods in Molecular Biology (Clifton, N.J.)|January 27, 2023
RNA Secondary Structure Prediction Based on Energy ModelsManato Akiyama, Kengo Sato
Nihon Rinsho. Japanese Journal of Clinical Medicine|October 22, 2010
[Salusin-alpha, -beta]Kengo Sato, Masayoshi Shichiri
International Journal of Molecular Sciences|April 3, 2021
A Web Server for Designing Molecular Switches Composed of Two Interacting RNAsAkito Taneda, Kengo Sato
Briefings in Bioinformatics|May 26, 2023
Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discoveryKengo Sato, Michiaki Hamada
Peerj|November 28, 2013
An extended genovo metagenomic assembler by incorporating paired-end informationAfiahayati, Kengo Sato, Yasubumi Sakakibara
DNA Research : an International Journal for Rapid Publication of Reports on Genes and Genomes|November 29, 2014
MetaVelvet-SL: an extension of the Velvet assembler to a de novo metagenomic assembler utilizing supervised learningAfiahayati, Kengo Sato, Yasubumi Sakakibara
Pageof 16

Showing results (1-10 of 158) with videos related to

Sort By:
Pageof 16
Briefings in Bioinformatics|October 3, 2021
Prediction of RNA secondary structure including pseudoknots for long sequencesKengo Sato, Yuki Kato
Methods in Molecular Biology (Clifton, N.J.)|November 1, 2025
Prediction of RNA Joint Secondary Structures Based on Integer ProgrammingYuki Kato, Kengo Sato
Nutrition, Metabolism, and Cardiovascular Diseases : NMCD|May 16, 2020
Roles of the kisspeptin/GPR54 system in pathomechanisms of atherosclerosisTakuya Watanabe, Kengo Sato
Bioinformatics (Oxford, England)|October 6, 2005
RNA secondary structural alignment with conditional random fieldsKengo Sato, Yasubumi Sakakibara
Methods in Molecular Biology (Clifton, N.J.)|January 27, 2023
RNA Secondary Structure Prediction Based on Energy ModelsManato Akiyama, Kengo Sato
Nihon Rinsho. Japanese Journal of Clinical Medicine|October 22, 2010
[Salusin-alpha, -beta]Kengo Sato, Masayoshi Shichiri
International Journal of Molecular Sciences|April 3, 2021
A Web Server for Designing Molecular Switches Composed of Two Interacting RNAsAkito Taneda, Kengo Sato
Briefings in Bioinformatics|May 26, 2023
Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discoveryKengo Sato, Michiaki Hamada
Peerj|November 28, 2013
An extended genovo metagenomic assembler by incorporating paired-end informationAfiahayati, Kengo Sato, Yasubumi Sakakibara
DNA Research : an International Journal for Rapid Publication of Reports on Genes and Genomes|November 29, 2014
MetaVelvet-SL: an extension of the Velvet assembler to a de novo metagenomic assembler utilizing supervised learningAfiahayati, Kengo Sato, Yasubumi Sakakibara
Pageof 16