Bioinformatics Data Science

[Education-related] Computer utilization I
[Department of DS Faculty] Colchium I, DS Project, Quantitative Data Analysis Exercise, Categorycal Data Analysis Seminar, Data Analysis Exercise, Bioinformatics, Graduation Research

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

Ph.D. (Agriculture)

Molecular Biology Society of Japan
Japan Metrology Society

Statistical analysis, machine learning, experimental zoology, genetics, transomics, Fenome, Phenotype, Big Data, Mouse, Data Mining

[Analyses of exhaustive phenotype data through statistics and machine learning]
Overview: So far, using phenotype data (health data) of experimental animal mice, "presentation of reference data set of relationships between phenotypes by association analysis" and "development of quantitative expression method for the degree of male and female mice by gradient boosting decision tree". In the future, we will continue to conduct research and consulting using statistics and machine learning using health and business data.

・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 workflows that can detect individual abnormalities in mouses with high accuracy
Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research
Research Representative: TANAKA Nobuhiko
Study period: 2021-04-01 – 2025-03-31

Issue Name: Sexual spectrum of gene and body balance on Y chromosome
Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research (Research Project)
Research Representative: Shogo Matoba, Collaborative Researchers: TANAKA Nobuhiko
Study period: 2020-04-01 – 2022-03-31
URL: http://park.itc.u-tokyo.ac.jp/sexspectrum/koubo-project2.html

Issue Name: Development of a method that can detect abnormalities in expressive traits with high accuracy
Scientific Expenses Category: Challenged sprouting research
Research Institute: RIKEN, National Research and Development Corporation
Research Representative: TANAKA Nobuhiko
Study period: 2016-04-01 – 2019-03-31