Kengo Sato

RNA secondary structure prediction using deep learning with thermodynamic integration

Yasubumi Sakakibara, Manato Akiyama, Kengo Sato, 2020, Nature Communications.

The datasets used in "RNA secondary structure prediction using deep learning with thermodynamic integration"

Kengo Sato, 2021 .

Generation of a Nonhuman Primate Model of Severe Combined Immunodeficiency Using Highly Efficient Genome Editing.

Tetsushi Sakuma, Hideyuki Okano, Yasubumi Sakakibara, 2016, Cell stem cell.

RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming

Tatsuya Akutsu, Kiyoshi Asai, Michiaki Hamada, 2010, Bioinform..

Prediction of Gene Structures from RNA-seq Data Using Dual Decomposition

Yasubumi Sakakibara, Kengo Sato, Tatsumu Inatsuki, 2015 .

DEclust: A statistical approach for obtaining differential expression profiles of multiple conditions

Yasubumi Sakakibara, Yuichi Wakabayashi, Kengo Sato, 2017, PloS one.

RNA Structural Alignment with Conditional Random Fields

Yasubumi Sakakibara, Kengo Sato, 2005 .

MetaVelvet-SL: an extension of the Velvet assembler to a de novo metagenomic assembler utilizing supervised learning

Afiahayati, Yasubumi Sakakibara, Kengo Sato, 2014, DNA research : an international journal for rapid publication of reports on genes and genomes.