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Functional Analysis in silico (FAiS) is to conduct computational ("in silico") studies on the functional aspects of genome information. Roughly speaking, genome information represents what kind of proteins/RNAs are synthesized under which conditions.


Head・MUTO Kaori

It is the only humanities laboratory in the Institute of Medical Science, where we study the intersection of advanced medical science and society. In addition to research ethics and medical ethics, we emphasize such areas as medical care, welfare, labor, family, community, and culture, and aim to conduct policy research from a perspective rooted in the lives of patients and subjects.

Our laboratory is involved in the management of Biobank Japan (BBJ), one of the largest disease biobank in the world, that has approximately 270,000 samples. By using BBJ samples, we conducted comprehensive genomic analysis to identify genetic factors associated with disease risk and various phenotypes for the implementation of personalized medicine. 


The Laboratory of Molecular Medicine focuses on comprehensive characterization of currently-untreatable diseases including cancer on the basis of molecular genomics and aims to make "breakthroughs for human health" by identifying novel disease-related genes/pathways, including potential therapeutic or preventive targets and biomarkers, and to understand human diseases as heterogeneous but intervention-able "biological systems".

Head・ IMOTO Seiya

We are interested in developing efficient algorithms and software for computational problems in molecular biology. The data in the field has been increasing exponentially (i.e., big data), due to the recent development of technologies. Thus, sophisticated algorithm design and development are almost mandatory. Our recent work includes sequence alignment, sequence database searching, gene finding, analysis of SNPs, pathway analysis, 3-D protein structure database searching & function prediction, and so on.


The amount and diversity of medical data, especially genome data, have been increasing rapidly. We are focusing on developing fundamental big data informatics technologies that could drive medical science to the next stage. Our research includes algorithm theory, information retrieval, privacy preserving technologies, machine learning and artificial intelligence, and their applications to medical science.


Head・ IMOTO Seiya

Our goal is to create intelligence for society by researching methods to use various health care data, such as multi-omics data derived from the human genome and genome, large scale data on health and medical care unique to Japan with a time axis such as information on receipts and specific medical examinations, health big data that is growing rapidly based on the development of ICT, and metagenomic data on bacterial and viral flora that coexist with us, to predict and prevent diseases and maintain health.

Our purpose is to decipher the design of biological system based on genome information obtained from genome analysis projects of various species including humans. For this purpose, we are promoting the development of medical pathways and pharmaceutical databases in addition to huge genome information, and technology development regarding their usage. The achievements are widely disclosed to the research community.

Abnormalities of intestinal bacteria have been found in various diseases. We are conducting metagenome analysis of intestinal bacteriome and virome by whole genome analysis. We are creating metagenome database of healthy persons and various disease patients, and try to develop new therapies targeting on intestinal microflora.


The Division of Digital Genomics aims to uncover genetic associations of common complex traits and their molecular mechanisms using integrated mathematical and statistical approaches.

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