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Biomedical Information Analysis Lab
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The lab uses data science to analyze large-scale human genome and clinical data.
AboutAbout the lab
Unraveling large-scale human data with data science
The Biomedical Information Analysis Lab uses data science techniques to analyze large-scale human data such as genomes and omics.
The lab develops analysis methods and software suited to measurement instruments, and builds systems that use cohort and clinical specimen data for disease research.
Through its research, the lab is also training people for the data science era who can analyze human genome, omics, and clinical data.
On the lab's website, it is introduced under the name "Nagasaki Lab."
Key terms
- Omics
- A collective term for information obtained by examining the molecules of living organisms, such as the transcriptome, metabolome, and proteome
- Cohort
- A group of people who are studied continuously in a study. Genome data and lifestyle data are collected from them
- Systems biology
- A research field that seeks to understand phenomena in living organisms as systems rather than as individual parts
NewsLab news
View More ↗ResearchResearch themes
Advances in human genome measurement instruments now make it possible to obtain, at large scale, both macro-level information on human individuals and micro-level information at the single-cell level. The lab analyzes both kinds of large-scale data, building on a data science foundation and using large-scale computing resources integrated with cloud infrastructure.
*Illustrative imageDeveloping analysis methods suited to measurement instruments
As new measurement instruments and techniques emerge, data has become large-scale and multidimensional. The lab is developing more appropriate data analysis methods and software implementations to match.
*Illustrative imageApplication to cohorts and clinical specimens
The lab organizes and integrates large-scale cohort data and genome and omics data from public databases, and builds systems for use in disease research. It aims to speed up the identification of disease-related factors and causes.
*Illustrative imageHuman systems biology
Through method development and the results of applying these methods to cohorts and clinical specimens, the lab pursues research with the long-term goal of understanding phenomena in the body as a system.
MembersFaculty
The members of the Biomedical Information Analysis Lab consist of faculty members, technical staff, administrative assistants, technical assistants, engineering staff, collaborative researchers, doctoral, master's, and undergraduate students, international research students, and short-term visiting students.As of 2026
- ProfessorMasao Nagasaki
- Assistant ProfessorAtsushi Doi
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Geographical distribution of human major genetic ancestral components” Wikiuser1314 / CC BY-SA 4.0 (cropped)
- Developing analysis methods suited to measurement instruments: “DNA-Sequencers from Flickr 57080968” Flickr user jurvetson / CC BY 2.0 (cropped)
- Application to cohorts and clinical specimens: “2026 - Blood test samples” Oleg Yunakov / CC BY-SA 4.0 (cropped)
- Human systems biology: “Human genome assembly GRCh38 chromosomes ideogram NCBI” National Center for Biotechnology Information, screenshot by Aarón Mayo / Public domain (cropped)
- Related lab (Gene Expression Dynamics Lab): “TranscriptionGraphic PublicDomain” Zulujive / CC0 (cropped)
- Related lab (Integrative Omics Lab): “Multichannel pipette-12” real name: Nadina Wiórkiewicz pl.wiki: Nadine90 commons: Nadine90 / CC BY-SA 3.0 (cropped)
- Related lab (Disease Genome Biology Lab): “Histological section of small intestine epithelial tissue, zoom” Otávio Astor Vaz Costa / CC BY 4.0 (cropped)
- Related lab (Transcriptomics Lab): “Chromatin Structures” Original uploader was Richard Wheeler at en.wikipedia / CC BY-SA 3.0 (cropped)
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