K
Kengo Kinoshita
Researcher at Tohoku University
Publications - 217
Citations - 8041
Kengo Kinoshita is an academic researcher from Tohoku University. The author has contributed to research in topics: Population & Gene. The author has an hindex of 42, co-authored 189 publications receiving 6644 citations. Previous affiliations of Kengo Kinoshita include Yokohama City University & University of Tokyo.
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Journal ArticleDOI
PrDOS: prediction of disordered protein regions from amino acid sequence
Takashi Ishida,Kengo Kinoshita +1 more
TL;DR: PrDOS is a server that predicts the disordered regions of a protein from its amino acid sequence and returns a two-state prediction (order/disorder) and a disorder probability for each residue.
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ATTED-II: a database of co-expressed genes and cis elements for identifying co-regulated gene groups in Arabidopsis
Takeshi Obayashi,Kengo Kinoshita,Kenta Nakai,Masayuki Shibaoka,Shinpei Hayashi,Motoshi Saeki,Daisuke Shibata,Kazuki Saito,Hiroyuki Ohta +8 more
TL;DR: An Arabidopsis thaliana trans-factor and cis-element prediction database that provides co-regulated gene relationships based on co-expressed genes deduced from microarray data and the predicted cis elements to help researchers to clarify the function and regulation of particular genes and gene networks is reported.
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ATTED-II provides coexpressed gene networks for Arabidopsis.
TL;DR: ATTED-II as mentioned in this paper is a database of gene coexpression in Arabidopsis that can be used to design a wide variety of experiments, including the prioritization of genes for functional identification or for studies of regulatory relationships.
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Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals
Masao Nagasaki,Jun Yasuda,Fumiki Katsuoka,Naoki Nariai,Kaname Kojima,Yosuke Kawai,Yumi Yamaguchi-Kabata,Junji Yokozawa,Inaho Danjoh,Sakae Saito,Yukuto Sato,Takahiro Mimori,Kaoru Tsuda,Rumiko Saito,Xiaoqing Pan,Satoshi Nishikawa,Shin Ito,Yoko Kuroki,Osamu Tanabe,Nobuo Fuse,Shinichi Kuriyama,Hideyasu Kiyomoto,Atsushi Hozawa,Naoko Minegishi,James Douglas Engel,Kengo Kinoshita,Shigeo Kure,Nobuo Yaegashi,Masayuki Yamamoto +28 more
TL;DR: The value of high-coverage sequencing for constructing population-specific variant panels, which covers 99.0% SNVs of minor allele frequency ≥0.1%, is demonstrated, and its value for identifying causal rare variants of complex human disease phenotypes in genetic association studies is demonstrated.
Journal ArticleDOI
Prediction of disordered regions in proteins based on the meta approach
Takashi Ishida,Kengo Kinoshita +1 more
TL;DR: A new prediction method for disordered regions in proteins based on the meta approach is developed and a web-server is implemented for this prediction method named 'metaPrDOS', which achieved higher prediction accuracy than all methods participating in CASP7.