School of Information and Data Sciences, Nagasaki University

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Research Activities

Staff Introduction

Keiichi MOCHIDA
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教員顔写真
Position・Degree
  • Institute of Integrated Science and Technology, Professor
  • School of Information and Data Sciences, Professor
  • Doctor of Science
Email
keiichi.mochidanagasaki-u.ac.jp
Researcher number
90387960
Date of arrival
Apr.2021
Areas of Research
Genome informatics, Bio-database, Genetics and breeding
CV
Mar.1998
Yokohama National University, Faculty of Education, Graduated
Mar.2000
Yokohama City University, Graduate School of Integrated Science, Master Course, Completed
Mar.2003
Yokohama City University, Graduate School of Integrated Science, Doctor Course, Completed
Mar.2003
Doctor (Science), Yokohama City University
Apr.2003
University of Tsukuba, Research Associate
Apr.2004
Nagahama Institute of Bio-Science and Technology, Bioinformatics course, Assistant Professor
Oct.2005
RIKEN, Plant Science Center, Research Associate
Oct.2008
RIKEN, Plant Science Center, Research Scientist
Jul.2010
RIKEN, Biomass Engineering Program, Senior Scientist
Apr.2013
RIKEN, Center for Sustainable Resource Science, Biomass Research Platform Team, Deputy Team leader
Apr.2015
RIKEN, Center for Sustainable Resource Science, Cellulose Production Research Team, Team leader
Apr.2018
RIKEN, Center for Sustainable Resource Science, Bioproductivity Informatics Research Team (present)
Apr.2021
Nagasaki University, School of Information and Data Sciences, Professor(present)

Research activities

●
 Knowledge discovery from biological deep phenotype data
Comprehensive analyses of various omics spectrums generate diverse and high-dimensional datasets representing physiological states of organisms. Through integrated analysis of multiple omics datasets such as bio-imaging, transcriptome, proteome and metabolome, we aim to identify useful genes and their functions.
研究活動1
A gene regulatory network estimated based on transcriptome datasets
研究活動2
A gene expression map associated with potential transcriptional regulators
●
 Genome-to-phenome modeling in crops
To reveal genetic association between genomic variations and diversities of crop-environment interactions, and diversities of terminal agronomic traits, we aim to computationally modeling genome-to-phenome based on our better understanding of crop-environment interactions along with life-course of crop growth toward crop improvement.
研究活動3
Life-course approach in crops for formulation of genotype-phenotype relationships

Educational activities

Class
School of Information and Data Sciences：
First-year Seminar, Medical and Bio informatics I/Ⅲ, Research Project
Liberal Arts Education：
Introduction to Planetary Health
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