FI:IV108 Bionformatics II - Course Information

IV108 Bionformatics II

Extent and Intensity

1/1/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).

Teacher(s)

doc. Ing. Matej Lexa, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics

Timetable

Tue 12:00–13:50 B116, Tue 12:00–13:50 B204

Prerequisites

IV107 Bioinformatics I or consent of the teacher for other than biology students.

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 18 fields of study the course is directly associated with, display

Course objectives

Advanced bioinformatics with explanations of the inner working of selected algorithms, their advantages and disadvanteges. Recent alternatives to common practices will be presented. The students should learn to evaluate or design methods for solving current problems in bioinformatics. They will write their own code in the practical part of the course.

Syllabus

• 1. Algorithms for sequence analysis 2. Algorithms for prediction and analysis of structural data 3. Biological language 4. Understanding protein cleavage and mass spectra 5. Expression profile and promoter analysis

Literature

• WATERMAN, Michael. Introduction to computational biology. Maps, sequences and genomes. Boca Raton: CRC Press, 1995, 431 pp. ISBN 0-412-99391-0. info

Language of instruction

Czech

Follow-Up Courses

• IV105 Bionformatics seminar
• IV106 Bioinformatics seminar
• IV110 Bioinformatics project I

Further Comments

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

• Enrolment Statistics (Autumn 2006, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2006/IV108