Laboratory for Large-Scale Biomedical Data Technology

Genomic data management technologies connecting to new biological findings



Team Leader
Takeya KASUKAWA  Ph.D.

1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045


Research Area

Today, life scientists must glean valuable information from published work and databases in order to further their own scientific work, for the benefit of society. To achieve this they must collect and annotate this additional information individually. Therefore, they are required to perform additional data management tasks as part of their research tasks; this is costly in both time and financially. This is especially true for scientists working heavily with genomics data. Our mission is to develop technologies for achieving efficient genomics data management in the following ways:

  1. Research and development of the element technologies of systems that can manage large-scale genomics data in accurate, efficient and scalable manners.
  2. Construction of reference data sets to compare various large-scale genomics data with a view to future directions and requirements.

Along with these developments, we set up computational infrastructure that is adequate to meet these aims and demands. These activities are conducted to address the ever increasing, large amount of next generation sequencing data; that is produced both within and outside of this division. The ultimate goal is to contribute to further applied
research areas including, but not limited to, drug discovery and medical practices.



2023/06/02 Single-Cell RNA-Seq Reveals LRRC75A-Expressing Cell Population Involved in VEGF Secretion of Multipotent Mesenchymal Stromal/Stem Cells Under Ischemia
2022/07/07 Systematic Functional Annotation Workflow for Insects
2020/12/14 FANTOM enters 20th year: expansion of transcriptomic atlases and functional annotation of non-coding RNAs
2020/07/28 RNA biology provides the key to cell identity and health
2020/02/25 New RNA mapping technique shows how RNA interacts with chromatin in the genome
2019/06/25 Construction of a standard dataset of transcriptoin start sites
2019/04/05 Mapping RNA on a single-cell level
2017/08/30 The FANTOM contribution to open science
2017/08/22 FANTOM5 releases first integrated atlas of microRNA expression in human primary cells
2017/03/02 Improved gene expression atlas shows that many human long non-coding RNAs may actually be functional
2017/02/15 FANTOM5 data contributes data of The Human Protein Atlas
2016/08/05 Continuously extensible database provides insights into our cells
2015/02/13 FANTOM5 project discovers general rules governing how cells change
2014/03/27 FANTOM5 releases atlas of human gene expression
2014/03/10 A new bioinformatics tool to visualize transcriptomes