FI:IV107 Bioinformatics I - Course Information
IV107 Bioinformatics I
Faculty of InformaticsAutumn 2018
- Extent and Intensity
- 2/1/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- doc. Ing. Matej Lexa, Ph.D. (lecturer)
- Guaranteed by
- doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable
- Mon 17. 9. to Mon 10. 12. Mon 18:00–19:50 B411
- Prerequisites
- This is an entry course into the area of bioinformatics for students of non-biological disciplines, there are no prerequisites.
- 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 / plans the course is directly associated with
- there are 36 fields of study the course is directly associated with, display
- Course objectives
- This course will lead the students into the fascinating world of molecules, genes and proteins. Currently, bioinformatics is going through a period of unusual growth. Abilities to think and act as a bioinformatician (to work with large biological datasets using modern computer science methods) are needed in many areas of science and applied disciplines, especially biology, medicine and chemistry.
After taking the course, the students will understand basic principles of molecular biology; they will be familiar with important biological problems that can be best handled by computers; they will understand and be able to choose basic computational methods for handling molecular data. - Syllabus
- The history and subject of bioinformatics
- Basics of molecular biology
- Organization of living matter
- DNA structure and function
- Protein structure and function
- Evolution of genes and proteins
- Bioinformatic data
- Data sources
- Common data types
- Public sequence data and their accessibility
- DNA sequence analysis
- Computer exercises: Data sources, similarity search, visualization of molecules
- Protein sequence analysis
- Structural and functional data
- Similarity searches and scoring
- Other types of data and their analysis
- Expression data
- Protein digests and mass spectra
- Literature data analysis
- Literature
- ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
- Fundamental concepts of bioinformatics. Edited by Dane E. Krane - Micheal L. Raymer. [1st ed.]. San Francisco: Benjamin Cummings, 2003, xiii, 314. ISBN 0-8053-4633-3. info
- Teaching methods
- lectures, computer exercises
- Assessment methods
- midterm test, final exam (both written)
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://www.fi.muni.cz/~lexa/iv107.html
- Enrolment Statistics (Autumn 2018, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2018/IV107