Affiliation
Faculty of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics
Job
Professor
External link
YADA Tetsushi
Scopus Paper Info
Total Paper Count: 52 Total Citation Count: 27651 h-index: 18
Research Interests
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genome biology
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bioinformatics
Undergraduate Education
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1988.03 Kyushu University Faculty of Science Graduated Japan
Degree
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The University of Tokyo - Doctor of Science 1998.06
Biography in Kyutech
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2019.04
Kyushu Institute of Technology Faculty of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics Professor
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2017.04-2018.03
Kyushu Institute of Technology School of Computer Science and Systems Engineering
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2017.04-2018.03
Kyushu Institute of Technology Graduate School of Computer Science and Systems Engineering
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2017.04-2018.03
Kyushu Institute of Technology Faculty of Computer Science and Systems Engineering
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2017.04-2018.03
Kyushu Institute of Technology Graduate School of Computer Science and Systems Engineering
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2013.05-2019.03
Kyushu Institute of Technology Faculty of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics Professor
Biography before Kyutech
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2007.04 - 2013.04 Kyoto University Associate Professor Japan
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2003.10 - 2007.03 Kyoto University Associate Professor (as old post name) Japan
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2001.04 - 2003.09 The University of Tokyo Associate Professor (as old post name) Japan
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1999.04 - 2001.03 理化学研究所 ゲノム科学総合研究センター 研究員 Japan
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1988.04 - 1999.03 株式会社三菱総合研究所 研究員 Japan
Papers
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Genome sequence alignment Invited Reviewed
Yada T
Encyclopedia of Bioinformatics and Computational Biology 2nd Ed. . (Ranganathan S, Cannataro M, Khan MA, ed.) 2025.06
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A putative scenario of how de novo protein-coding genes originate in the Saccharomyces cerevisiae lineage Reviewed
Yada T, Taniguchi T
BMC Genomics 2024.09
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Dynamical robustness and its structural dependence in biological networks Reviewed
Ichinose N, Kawashima T, Yada T, Wada H
J Theor Biol 2021.10
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Identification and analysis of short open reading frames (sORFs) in the initially annotated noncoding RNA LINC00493 from human cells Reviewed
Yeasmin F, Imamachi N, Tanu T, Taniue K, Kawamura T, Yada T, Akimitsu N
J Biochem 2021.01
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Discrimination between dementia groups and healthy elderlies using scalp-recorded-EEG-based brain functional connectivity networks Reviewed
Nishijima S, Yada T, Yamazaki T, Kuroiwa Y, Nakane M, Fujino K, Hirai T, Baba Y, Yamada S, Tsukiyama S
J Biomed Sci Eng 2020.07
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Genome sequence alignment Invited Reviewed
2018.09
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Asymmetry in indegree and outdegree distributions of gene regulatory networks arising from dynamical robustness Reviewed
97 ( 6 ) 2018.06
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Micropeptides encoded in transcripts previously identified as long noncoding RNAs: A new chapter in transcriptomics and proteomics Reviewed
9 ( APR ) 2018.04
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A new computational method to predict transcriptional activity of a DNA sequence from diverse datasets of massively parallel reporter assays Reviewed
45 ( 13 ) 2017.07
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Estimating optimal sparseness of developmental gene networks using a semiquantitative model' Reviewed
12 ( 4 ) 2017.04
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Long Noncoding RNA NEAT0-Dependent SFPQ relocation from promoter region to paraspeckle mediates IL8 expression upon immune stimuli
Imamura K., Imamachi N., Akizuki G., Kumakura M., Kawaguchi A., Nagata K., Kato A., Kawaguchi Y., Sato H., Yoneda M., Kai C., Yada T., Suzuki Y., Yamada T., Ozawa T., Kaneki K., Inoue T., Kobayashi M., Kodama T., Wada Y., Sekimizu K., Akimitsu N.
Molecular Cell ( Molecular Cell ) 54 ( 6 ) 2014.06
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miRNA-target prediction based on transcriptional regulation. Reviewed
14 Suppl 2 2013.06
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Identification of hundreds of novel UPF1 target transcripts by direct determination of whole transcriptome stability Reviewed
9 ( 11 ) 1370 - 1379 2012.01
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Large-scale motif discovery using DNA Gray code and equiprobable oligomers Reviewed
28 ( 1 ) 25 - 31 2012.01
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Linear regression models predicting strength of transcriptional activity of promoters. Reviewed
25 ( 1 ) 53 - 60 2011.12
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Predicting promoter activities of primary human DNA sequences Reviewed
39 ( 11 ) 2011.06
Grants-in-Aid for Scientific Research
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次世代シークエンサー解析と情報科学解析で迫る転写調節コードの普遍性と多様性
Grant number：15H01358 2015.04 - 2017.03 新学術領域研究
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プロモーター配列の情報科学的解体と再構成による遺伝子回路の設計
Grant number：26119717 2014.04 - 2016.03 新学術領域研究
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遺伝子のde novo誕生の機序に迫るバイオインフォマティクス研究
Grant number：25640112 2013.04 - 2016.03 挑戦的萌芽研究
The bar and line graphs display up to the most recent 20 years.