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Tetsuya Sakurai

Tetsuya Sakurai

D-Index & Metrics

Genetics

D-Index
56
Citations
19816
World Ranking
3457
National Ranking
155

Overview

Tetsuya Sakurai is affiliated with Kōchi University in Japan. Their research spans primarily the fields of Biochemistry, Genetics and Molecular Biology, with significant contributions also in Computer Science.

Their subfields of study include Molecular Biology, Artificial Intelligence, Cancer Research, Plant Science, and Ecology.

The main topics covered in their work include:

  • Cancer-related molecular mechanisms research
  • Gene expression and cancer classification
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Single-cell and spatial transcriptomics
  • RNA modifications and cancer

Sakurai has contributed to several recent publications, including:

  • "A genome resource for green millet Setaria viridis enables discovery of agronomically valuable loci," 2020, Nature Biotechnology
  • "m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation," 2023, BMC Biology
  • "Deep generative model for drug design from protein target sequence," 2023, Journal of Cheminformatics
  • "iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism," 2022, Briefings in Bioinformatics
  • "A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens," 2024, International Journal of Biological Macromolecules

Frequent co-authors collaborating with Sakurai include:

  • Xiucai Ye
  • Yasunori Futamura
  • Ruheng Wang
  • Yaxuan Cui
  • Kenta Nakai

Sakurai's publications often appear in venues such as:

  • arXiv (Cornell University)
  • BMC Biology
  • Scientific Reports
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Microbiology Resource Announcements

Best Publications

  • Genome sequence of the palaeopolyploid soybean

    Jeremy Schmutz;Steven B. Cannon;Jessica Schlueter;Jessica Schlueter;Jianxin Ma

  • Monitoring the expression profiles of 7000 Arabidopsis genes under drought, cold and high-salinity stresses using a full-length cDNA microarray.

    Motoaki Seki;Mari Narusaka;Junko Ishida;Tokihiko Nanjo

  • Empirical analysis of transcriptional activity in the Arabidopsis genome.

    Kayoko Yamada;Jun Lim;Joseph M. Dale;Huaming Chen;Huaming Chen

  • Functional annotation of a full-length Arabidopsis cDNA collection.

    Motoaki Seki;Mari Narusaka;Asako Kamiya;Junko Ishida

  • Comparative Genomics in Salt Tolerance between Arabidopsis and Arabidopsis-Related Halophyte Salt Cress Using Arabidopsis Microarray

    Teruaki Taji;Motoaki Seki;Masakazu Satou;Tetsuya Sakurai

  • The AtGenExpress hormone and chemical treatment data set: experimental design, data evaluation, model data analysis and data access.

    Hideki Goda;Eriko Sasaki;Kenji Akiyama;Akiko Maruyama-Nakashita

  • Monitoring the expression pattern of around 7,000 Arabidopsis genes under ABA treatments using a full-length cDNA microarray

    Motoaki Seki;Junko Ishida;Mari Narusaka;Miki Fujita

  • Monitoring Expression Profiles of Arabidopsis Gene Expression during Rehydration Process after Dehydration Using ca. 7000 Full-Length cDNA Microarray

    Youko Oono;Motoaki Seki;Tokihiko Nanjo;Mari Narusaka

  • Identification of cis-acting promoter elements in cold- and dehydration-induced transcriptional pathways in Arabidopsis, rice, and soybean.

    Kyonoshin Maruyama;Daisuke Todaka;Junya Mizoi;Takuya Yoshida

  • RIKEN tandem mass spectral database (ReSpect) for phytochemicals: a plant-specific MS/MS-based data resource and database.

    Yuji Sawada;Ryo Nakabayashi;Yutaka Yamada;Makoto Suzuki

  • Widely targeted metabolomics based on large-scale MS/MS data for elucidating metabolite accumulation patterns in plants.

    Yuji Sawada;Kenji Akiyama;Akane Sakata;Ayuko Kuwahara

  • Genome-wide analysis of alternative pre-mRNA splicing in Arabidopsis thaliana based on full-length cDNA sequences

    Kei Iida;Motoaki Seki;Tetsuya Sakurai;Masakazu Satou

  • A collection of 11 800 single-copy Ds transposon insertion lines in Arabidopsis.

    Takashi Kuromori;Takashi Hirayama;Yuki Kiyosue;Hiroko Takabe

  • Identification of Arabidopsis genes regulated by high light-stress using cDNA microarray.

    Mitsuhiro Kimura;Yoshiharu Y. Yamamoto;Motoaki Seki;Tetsuya Sakurai

  • Curated genome annotation of Oryza sativa ssp. japonica and comparative genome analysis with Arabidopsis thaliana

    Takeshi Itoh;Takeshi Itoh;Tsuyoshi Tanaka;Roberto A. Barrero;Chisato Yamasaki

  • AtMetExpress Development: A Phytochemical Atlas of Arabidopsis Development

    Fumio Matsuda;Masami Y. Hirai;Eriko Sasaki;Kenji Akiyama

  • PRIMe: a Web site that assembles tools for metabolomics and transcriptomics.

    Kenji Akiyama;Eisuke Chikayama;Hiroaki Yuasa;Yukihisa Shimada

  • Identification of plant promoter constituents by analysis of local distribution of short sequences

    Yoshiharu Y Yamamoto;Hiroyuki Ichida;Minami Matsui;Junichi Obokata

  • Monitoring expression profiles of Arabidopsis genes during cold acclimation and deacclimation using DNA microarrays

    Youko Oono;Motoaki Seki;Masakazu Satou;Kei Iida

  • Monitoring the expression profiles of genes induced by hyperosmotic, high salinity, and oxidative stress and abscisic acid treatment in Arabidopsis cell culture using a full-length cDNA microarray

    Seiji Takahashi;Motoaki Seki;Junko Ishida;Masakazu Satou

Frequent Co-Authors

Kazuko Yamaguchi-Shinozaki
Kazuko Yamaguchi-Shinozaki University of Tokyo
Kazuki Saito
Kazuki Saito Chiba University
Mari Narusaka
Mari Narusaka National Institute for Basic Biology
Hitoshi Sakakibara
Hitoshi Sakakibara Nagoya University
Miki Fujita
Miki Fujita University of British Columbia
Takashi Kuromori
Takashi Kuromori Okayama University

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