Seminar

In recent years, the amount of information that is being generated in many research fields has been growing at an ever-increasing pace, creating a strong need for sophisticated tools and methods to efficiently process and analyze very large data sets. This is especially true in the field of bioinformatics, which covers and requires extensive knowledge in a variety of disciplines, notably biology, medical sciences and mathematical statistics, but also pharmaceutical sciences, deep-learning and ethics to name a few.

The In Silico Megabank Research Seminar was launched in this context, as a means to provide researchers in bioinformatics-related fields with opportunities to share their knowledge and experience in their area of expertise. This seminar series started in April 2012, with the aim to 1) achieve an in-depth understanding of the latest research in bioinformatics/biomedical sciences and related fields, 2) enhance human resource development, and 3) provide research scientists with networking opportunities.

Given the variety of topics addressed and the speakers’ background diversity, the sessions are mostly organized as open-discussion seminars to facilitate communication between the participants and improve the learning experience. Another goal of this 90-minute seminar is to give PhD candidates a chance to better appreciate the practical application of research concepts by listening to the lectures, and by asking questions directly to the guest speaker as the need arises. 

As research in bioinformatics and biomedical sciences faces growing expectations for new transdisciplinary knowledge, it is essential to find effective ways to encourage collaboration among researchers. The In Silico Megabank Research Seminar helps tackle this challenge, and we would be grateful if you would be willing to contribute with your expertise, and if you are interested, participate in the networking event that we organize after the seminar.

Masao Nagasaki,  Ph.D, Professor
Leader of Group of Genome Information Analysis