Integrated Metabolome Database for the Creation of Knowledge
Category
- In progress
- Database Integration Coordination Program (DICP)
- Projects funded in FY 2024-Fostering
Name and affiliation of Research Director
HAYAKAWA Eisuke
Research Scientist, The Institute of Physical and Chemical Research, RIKEN
Outline of R&D
We will construct a database integMET, in which metabolome data are integrated as a knowledge network based on trends in metabolite fluctuations and the similarity of metadata. This database will enable large-scale data reanalysis of metabolomics data systematized as a network, and will provide a comprehensive understanding of the relationship between metabolism and biological phenomena. Furthermore, we aim to create a database that will lead to the creation of new cross-disciplinary research and knowledge, such as the application of the metabolome knowledge graph structure in which research information is integrated to data science and AI research.
Main database(s) subject to research and development
integMET
Period of research and development
Apr 2024 to Mar 2027
Grant Number
JPMJND2403