Bioinformatics Data Science

[Related for Education] Computer utilization I
[DS Faculty Related] Colokiam I, DS Project, Quantitative Data Analysis Exercise, Category Data Analysis Exercise, Data Analysis Exercise, Bioinformatics, Graduation Research

Graduated from the Department of Biological Production, 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 (Graduate School of Agriculture and Technology) in 2001.

Ph.D. (Agriculture)

Molecular Biology Society of Japan
Japan Society of Econometric Biology

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

[Analysis of comprehensive phenotype data in mice using statistics and machine learning]
Overview: To date, we have been using phenotype data (health data) of experimental animal mice to present a reference dataset of the relationship between phenotypes by association analysis and develop quantitative representation methods for the degree of male and female mice by gradient boosting determination trees. In the future, we will use health data 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

Challenge Name: Development of a workflow that can detect abnormality in mice with high accuracy
Grant-in-Aid for Scientific Research (C) of the Japan Society for the Promotion of Science
Research Representative: TANAKA Nobuhiko
Period of study: 2021-04-01 – 2025-03-31

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

Challenge Name: Development of a method that can detect abnormality in expression traits with high accuracy
Grant-in-Aid for Scientific Research: Challenging germination research
Research Institute: RIKEN National Research Institute
Research Representative: TANAKA Nobuhiko
Period of study: 2016-04-01 – 2019-03-31