Bioinformatics Data Science

[Culture-related] Computer utilization I
[DS Department] Coloquium I, DS Project, Quantitative Data Analysis Exercise, Category Data Analysis Exercise, Data Analysis Exercise, Bioinformatics, Graduation Research

Graduated from the Department of Bioproduction, Faculty of Agriculture, Tokyo University of Agriculture and Technology in 1996.
Graduated from the Graduate School of Agriculture and Technology, Tokyo University of Agriculture and Technology in 1998.
Graduated from Tokyo University of Agriculture and Technology in 2001 (Department of Biological Production, Graduate School of Agriculture and Technology)

Ph.D. (Agriculture)

Molecular Biology Society of Japan
Japan Society of Econometric Biology

Statistical analysis, machine learning, experimental zoology, genetics, transomics, Fe Nome, phenome, phenotype, big data, mouse, data mining

[Analysis of comprehensive phenotype data of mouse using statistics and machine learning]
Overview: To date, we have been using phenotype data (health data) of experimental animal mice to "present a reference data set of relationships between phenotypes through association analysis" and "development of quantitative expression methods for the degree of male and female mice with gradient boosting decision trees". In the future, we will use health and business data to conduct research and consulting using statistics and machine learning.

・Comprehensive ECG reference intervals in C57BL/6N substrains provide a generalizable guide for cardiac electrophysiology studies in mice, Oestereicher et al., Mammalian Genome 34:180–199, 2023

・Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy, Spielmann et al., Nature Cardiovascular Research VOL 1, 157–173, 2022

・Establishment and application of information resource of mutant mice in RIKEN BioResource Research Center, Masuya et al., Laboratory animal research 37(1) 6, 2021

・An atlas of evidence-based phenotypic associations across the mouse phenome, Nobuhiko Tanaka, Hiroshi Masuya, Scientific reports 10(1) 3957, 2020

・High-throughput discovery of genetic determinants of circadian misalignment, Zhang et al., PLoS genetics 16(1) e1008577, 2020

・Mouse phenome as biological resource, Nobuhiko Tanaka, Hiroshi Masuya, Impact Volume2018, Number 12, pp. 93-95(3), 2018

Issue name: Development of a workflow that can detect individual mouse abnormalities with high accuracy
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (C)
Research Representative: TANAKA Nobuhiko
Research Period: 2021-04-01 – 2025-03-31

Issue name: Sex spectrum of gene and body balance on Y chromosomes
The Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research
Research Representative: Shogo Matoba, Collaborative Researcher: TANAKA Nobuhiko
Research Period: 2020-04-01 – 2022-03-31
URL: http://park.itc.u-tokyo.ac.jp/sexspectrum/koubo-project2.html

Issue name: Development of methods that can detect abnormalities in expressive traits with high accuracy
Grant-in-Aid for Scientific Research: Challenged sprouting research
Research Institute: National Research and Development Agency RIKEN
Research Representative: TANAKA Nobuhiko
Research Period: 2016-04-01 – 2019-03-31