FI:IV105 Bionformatics seminar - Course Information
IV105 Bionformatics seminarFaculty of Informatics
- Extent and Intensity
- 0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Ing. Matej Lexa, Ph.D. (lecturer)
- Guaranteed by
- Ing. Matej Lexa, Ph.D.
Department of Machine Learning and Data Processing - Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing - Faculty of Informatics
- Tue 9:00–9:50 B411
- Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Alternatively computational tools in bioinformatics will be studied. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- Fields of study the course is directly associated with
- there are 85 fields of study the course is directly associated with, display
- Course objectives
- The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
- Learning outcomes
- Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
- The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
- Protein structure and function prediction from sequence
- Similarity of protein molecules
- Signalling and metabolic pathway analysis and visualization
- BAUM, Jeremy O. Understanding bioinformatics. Edited by Marketa J. Zvelebil. New York, N.Y.: Garland Science, 2008. xxiii, 772. ISBN 9780815340249. info
- Teaching methods
- student presentation and class discussion
- Assessment methods
- Student presentation.
- Language of instruction
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
- Teacher's information
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fi/autumn2019/IV105