Learning outcomes
Getting a solid background in structure-related bioinformatics, including a theoretical background to start protein modeling.
Contents
Macromolecular structural research methods and structure data; Analysis of structures; Classification of structures; Structural alignment; Molecular visualization; Homology-based modelling.
Teaching methods
| Teaching method | Contact | Online |
| Independent work | 0 h | 80 h |
Independent work (at least 80 h) on the internet course, guided by on-line tutoring. Work and learning must be documented in a learning diary (within the course tools).
Teaching language
EnglishModes of study
Independent work (at least 80 h) on the internet course, guided by on-line tutoring. Your work and learning must be documented in a learning diary (within the course tools).
Evaluation
Pass/fail.Recommended year of study
1st year. Continuous registration during terms. The course is open for self-study during holidays, too.
Study materials
Course material on the internet; selected scientific journal articles. Suggested reading: Structural Bioinformatics, (2002) ISBN 0-471-20199-5, Philip E. Bourne, Helge Weissig (eds.), Wiley & Sons.
Further information
Enrolment: http://bioinf.uta.fi/courses/
Organization responsible: Tampere IMT
Belongs to following study modules
2010–2011