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Bioinformatics - algorithms and data analysis

Summary

In the course, students will get acquainted with the basic approaches, methods and algorithms in bioinformatics.
Lectures will provide the necessary amount of theory so that it can be applied in students' independent work on exercises.
The exercises will offer a space for discussing the issue, a demonstration of practical tasks and exercises on simple assignments.

Literature

1) Wing-Kin Sung. Algorithms in Bioinformatics: A Practical Introduction. Chapman & Hall/CRC Mathematical & Computational Biology. 2009
2) Arthur Lesk. Introduction to Bioinformatics. Oxford University Press, 2014.
3) Fatima Cvrčková. Úvod do praktické bioinformatiky. 1. vyd. Praha: Academia, 2006.
4) Pierre Baldi;G. Wesley Hatfield. DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling. Cambridge University Press 2002.

Advised literature

1) Caroline St. Clair, Jonathan E. Visick. Exploring Bioinformatics: A Project-Based Approach. Jones & Bartlett Learning, 2013.


Language of instruction čeština, angličtina
Code 460-4143
Abbreviation BAAD
Course title Bioinformatics - algorithms and data analysis
Coordinating department Department of Computer Science
Course coordinator Ing. Michal Vašinek, Ph.D.