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Institute for Glyco-core Research, Integrated Glyco-Biomedical Research Center Lab (Integrated Health Sciences)
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A lab that interprets big data in life science through mathematical models.
AboutAbout the lab
Drawing out the mechanisms of life from data.
The Computational Biology Lab, part of the mathematical analysis division of the Institute for Glyco-core Research, studies methods for mathematically analyzing large-scale data in life science.
Advances in next-generation sequencing, mass spectrometry, imaging, and sensing technologies are producing large amounts of diverse data.
Associate Professor Matsui's mission is to use such data to develop methods for revealing the mechanisms of previously unknown living systems.
The Institute for Glyco-core Research is an international institute that aims to understand the essence (core) of life by studying glycans, and brings together researchers from Gifu University and Nagoya University.
Key terms
- Glycan
- A molecule that covers the surface of every cell and controls communication between the cell and the outside world.
- Mathematical modeling
- A method of representing phenomena with mathematical equations and statistical concepts in order to reveal how living systems work from data.
NewsLab news
Associate Professor Matsui's group develops an analysis method that identifies candidate vulnerabilities in glycan synthesis (PLOS Computational Biology)
Associate Professor Matsui's group develops a common metric for measuring glycan diversity (Bioinformatics Advances)
ResearchResearch themes
In life science, a key challenge is how to make use of large-scale, diverse data to reveal the mechanisms of previously unknown living systems. Associate Professor Matsui's mission is to develop mathematical modeling methods and data analysis methods that are useful for this purpose.
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MembersFaculty
- Associate ProfessorYusuke Matsui
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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: “Computer, server room, engineer Fortepan 76098” FOTO:Fortepan — ID 76098: Adományozó/Donor: Erdei Katalin. archive copy at the Wayback Machine / CC BY-SA 3.0 (cropped)
- Mathematical Analysis of Big Data in Life Science: “Liquid chromatograph with mass spectrometer, in CAFIA laboratory, Czech Republic” Sarka Na kopci / CC BY-SA 4.0 (cropped)
- Related lab (Brain and Mind Research Center Lab (Integrated Health Sciences)): “Calibration; MRI ( )” National Institute of Standards and Technology / Public domain (cropped)
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