MISSION
Life science and related fields have now entered the era of "data-driven life science," which combines the acquisition of multifaceted large data sets, using state-of-the-art equipment, with analysis. This data-driven life science can be led by " two-way" human beings who not only acquire big data from biological samples, but also analyze the data by themselves using informatics approaches to extract, understand, and utilize the data to interpret the biological significance.
Information
Events
Course
Basic Course
(Master's level)
Quantitative Biology for Experimentalists
This seminar provides introductory knowledge and skills in mathematical, statistical, and computational biology, as well as image analysis, which are necessary for interdisciplinary research. The goal is to enable participants to apply the knowledge and skills they learn in this seminar to their own research.
Frontiers in Genomic Research
This hands-on seminar allows participants to work with real-world data generated by next-generation sequencers (NGS). Using the supercomputer at the Chemical Research Institute, participants will learn how to analyze data using UNIX and specialized software. The goal is to extract biological meaning from the vast amounts of numerical and textual data.
Life Science DX Course
（Doctoral level）
Frontiers in Big Data Science
The goal is to acquire a broad background in both big data collection and information analysis, and to develop the ability to carry out research as an independent researcher through discussions on research presentations.
Professor
CeLiSIS faculty members are leaders in their respective areas of research, and often incorporate wet-and-dry bench processes. Our faculty have diverse backgrounds and have a record of research training who have mentored and helped develop successful, former trainees who have established productive careers. Faculty serve on committees, teach major courses, directly mentor students, and provide core support essential to the functioning of CeLiSIS Program. The program is proud to have 16 Faculty members in total.