DBKERO; a database to integrate multi-omics data for interpretation and functional annotations of human genome variations in diseases

Category

Name and affiliation of Research Director

Outline of R&D

In this project, we will develop a database where human genomic variance (somatic or germ line single nucleotide substitutions) are associated with epigenome and transcriptome information. This integration should give an important clue when biological interpretations of the variation found in the genomes of patients having diseases are conducted. We will put a primary focus on cancer genomes, but, eventually will expand the database to cover diverse diseases. Unique features of this database lies that it will include the multi-omics information from model systems, such as culture cells and mice models. This part should be particularly important as it is not always easy to collect the similar data directly from human clinical samples. Also this database will serve as a local database server for the CREST data collected for IHEC (International Human Epigenome Consortium).

Main database(s) subject to research and development

• DBKERO

Period of research and development

April 2017 to March 2022

Documents

Presentation documents

• July 18, 2017: Kickoff Meeting (4.5 MB)

Reports

• FY2017 (0.6 MB)
• FY2018 (1.8 MB)
• Mid-term Report (1.8 MB)
• FY2019 (1.4 MB)
• FY2020 (2.4 MB)
• Final Report (1.7 MB)

Evaluation

• Mid-term Evaluation (0.4 MB)
• Ex-post (0.8 MB)