Introduction to Computational Systems Bioinformatics

Numbering Code U-ENG29 49119 LJ66
U-ENG29 49119 LJ13
Year/Term 2022 ・ First semester
Number of Credits 2 Course Type Lecture
Target Year Target Student
Language Japanese Day/Period Tue.4
Instructor name AKUTSU TATSUYA (Institute for Chemical Research Professor)
KUMADA TAKATSUNE (Graduate School of Informatics Professor)
Outline and Purpose of the Course This course overviews mathematical models and computational methods in bioinformatics. In particular, this course explains how such methods as graph theory, machine learning, optimization, and nonlinear differential equations are applied to analyses of biological sequences and biological systems including neural and brain systems. This course is given in Japanese.
Course Goals See Japanese page for details.
Schedule and Contents Neural information processing in brain,1time,
Visual information processing,2times,
Visual attention,2times,
Cognitive function,2times,
Overview of bioinformatics,1time,
Sequence analysis,1time,
Inference of phylogenetic trees,2times,
Hidden Markov models,1time,
Analysis of protein structures,1time,
Scale-free networks,1time,
Feedback ,1time,
Evaluation Methods and Policy See Japanese page for details.
Course Requirements Basic knowledge related to biology and brain science will be provided in the course.
Study outside of Class (preparation and review) See Japanese page for details.
References, etc. Textbooks or recommended books will be informed in the course as required. The latter part of the course, a recomennded book is as follows (in Japanese); 阿久津達也 著:バイオインフォマティクスの数理とアルゴリズム,共立出版 (2007) isbn{}{9784320121782}.
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