FI:PB051 Computation in Bioinformatics - Course Information

PB051 Computational methods in Bioinformatics and Systems Biology

Extent and Intensity

1/1. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).

Teacher(s)

doc. Ing. Matej Lexa, Ph.D. (lecturer)
doc. RNDr. David Šafránek, Ph.D. (lecturer)
Mgr. Vojtěch Bystrý, Ph.D. (seminar tutor)

Guaranteed by

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

Timetable

Tue 8:00–9:50 B130

Prerequisites

Knowledge of elementary molecular biology and basic problems in bioinformatics and systems biology is expected.

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

• Applied Informatics (programme FI, B-AP)
• Bioinformatics (programme FI, B-AP)
• Economic Information Systems (programme ESF, B-SI)
• Informatics with another discipline (programme FI, B-BI)
• Informatics with another discipline (programme FI, B-FY)
• Informatics with another discipline (programme FI, B-GE)
• Informatics with another discipline (programme FI, B-GK)
• Informatics with another discipline (programme FI, B-CH)
• Informatics with another discipline (programme FI, B-IO)
• Informatics with another discipline (programme FI, B-MA)
• Informatics with another discipline (programme FI, B-TV)
• Informatics (programme FI, B-IN)
• Mathematical Informatics (programme FI, B-IN)
• Mathematics with Informatics (programme PřF, N-MA)
• Parallel and Distributed Systems (programme FI, B-IN)
• Computer Graphics and Image Processing (programme FI, B-IN)
• Computer Networks and Communication (programme FI, B-IN)
• Computer Systems and Data Processing (programme FI, B-IN)
• Programmable Technical Structures (programme FI, B-IN)
• Embedded Systems (programme FI, N-IN)
• Service Science, Management and Engineering (programme FI, N-AP)
• Artificial Intelligence and Natural Language Processing (programme FI, B-IN)

Course objectives

At the end of the course the student should be able to: select appropriate methods for a given problem; obtain and prepare necessary data; analyse the data (using their own program or publically available solutions)

Syllabus

• The course will be divided into two parts, each will cover 1-2 methods:
• Bioinformatics:
• operations on genomes
• using Markov models
• Systems biology:
• biological network analysis by graph-theoretical methods
• computational methods for simulation of biological systems dynamics

Literature

• ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
• Systems biology : principles, methods, and concepts. Edited by Andrzej K. Konopka. Boca Raton: CRC Press, 2007, 244 s. ISBN 9780824725204. info

Teaching methods

A combination of lectures and practical computer exercises.

Assessment methods

Seleced evaluated exercises; written exam

Language of instruction

Czech

Further Comments

Study Materials
The course is taught annually.

• Enrolment Statistics (Spring 2010, recent)
  
• Permalink: https://is.muni.cz/course/fi/spring2010/PB051