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Pan-Omics Measurement and Computational Science Lab
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A university-wide center linking measurement, data science, supercomputing, and modeling.

AboutAbout the lab
Integrating measurement, data science, supercomputing, and modeling across the university.
The Pan-Omics Measurement and Computational Science Center aims to integrate measurement, data science, supercomputing, and modeling across the entire university.
It belongs to the Research Institute for Information Technology, and Prof. Ono serves as its director.
Prof. Ono, the director, researches computational fluid dynamics, visualization, and parallel computing.
The center's website also introduces it under the name 'X-Omics.'
Key terms
- Computational fluid dynamics
- A field that investigates flows such as those of air and water through numerical computation on computers.
- Parallel computing
- A method of dividing computation among many processors and running it simultaneously to shorten processing time.
- Visualization
- Technology that represents numerical data as figures or images so that people can read and interpret it.
ResearchResearch themes
The center aims to integrate measurement, data science, supercomputing, and modeling across all fields. Its research divisions are the Applied Omics Data Science, Pan-Omics Data Analysis, Pan-Omics Mathematical Modeling, Pan-Omics Measurement and Computational Science, and Pan-Omics Collaborative Research divisions.
View More ↗MembersFaculty
- ProfessorKenji Ono
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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: “A Data-Driven Journey to the Center of the Eath” OLCF / CC BY 2.0 (cropped)
- Related lab (〈ネットワーク・セキュリティ〉): “Network based intrusion detection system” Rkouere / CC BY-SA 4.0 (cropped)
- Related lab (〈応用データ科学〉): “Image-based flow visualization” Anders Sandberg / CC BY-SA 3.0 (cropped)
- Related lab (〈教育情報基盤〉): “AI and Wikipedia in Education session in wikimania 2026 (4)” Anup Sadi / CC BY-SA 4.0 (cropped)
- Related lab (先端計算科学
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