NAKAOKA ShinjiSpecially Appointed Lecturer
- Laboratory of Mathematical Biology
- Research Theme
- mathematical modeling and data analysis in life science
- Research Keywords
mathematical biology, systems biology, bioinformatics, microbial ecology, precision medicine, multi-omics, mathematical modeling, machine learning, big data analysis
Overview of Research
In our laboratory, mathematical and statistical models are employed to work with experimental or field biologists in order to understand biological phenomena of interest, or quantitatively characterize data. Primary research target of our laboratory is to develop ecomics and ecomimetics. The former represents a type of research to investigate a given microbial community by integrating omics data on the basis of community ecology theories and methodologies. While the latter is motivated by biomimetics to represent a type of study to extract the essence of community assembly rules from existing microbial ecosystem to construct a new artificial microbial community. Other related topics in our laboratory include omics data analysis in precision medicine or the development of novel mathematical tools for data analysis in life sciences.
- School of Science:
Biological Science course (Macromolecular Functions), Core Laboratories
- Graduate School of Life Science:
Division of Life Science, Transdisciplinary Life Science Course, Bioinformation and Molecular Sciences
Kosaku Kitagawa, Toshikazu Kuniya, Shinji Nakaoka, Yusuke Asai, Koichi Watashi, Shingo Iwami, Mathematical analysis of a transformed ODE from a PDE multiscale model of hepatitis C virus infection, Bulletin of Mathematical Biology, in press.
Yueping Dong, Moitri Sen, Malay Banerjee, Yasuhiro Takeuchi and Shinji Nakaoka, Delayed feedback induced complex dynamics in an Escherichia coli and Tetrahymena system, Nonlinear Dynamics, 94(2), 1447-1466 (2018)
Shinji Nakaoka, Data-driven mathematical modeling of microbial community dynamics, Handbook of Statistics Vol.39 Part A, pp.93–130.
Naoki Nakada, Mizuho Nagata, Yueping Dong, Yasuhiro Takeuchi, and Shinji Nakaoka, Dynamics of tumor immune escape via adaptive change, NOLTA, Vol.E9-N, No.2, Apr. 2018.
Hirokazu Toju, Kabir G. Peay, Masato Yamamichi, Kazuhiko Narisawa, Kei Hiruma, Ken Naito, Shinji Fukuda, Masayuki Ushio, Shinji Nakaoka, Yusuke Onoda, Kentaro Yoshida, Klaus Schlaeppi, Yang Bai, Ryo Sugiura, Yasunori Ichihashi, Kiwamu Minamisawa, E. Toby Kiers, Core microbiomes for sustainable agroecosystems, Nature plant, Volume 4, 247–257 (2018).
Refer to HOKKAIDO UNIVERSITY RESEARCHERS DIRECTORY
- Faculty of Advanced Life Science, Department of Advanced Transdisciplinary Sciences, Tissue and Polymer Sciences
- Frontier Research Center for Advanced Material and Life Science, Advanced Facility Unit