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Algorithms for Bioinformatics

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code460-4100/01
Number of ECTS Credits Allocated4 ECTS credits
Type of Course Unit *Optional
Level of Course Unit *Second Cycle
Year of Study *Second Year
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
VAS218Ing. Michal Vašinek, Ph.D.
Summary
Students, during the course, are introduced to the basic approaches, methods and algorithms from bioinformatics.
The lectures will provide the necessary amount of theory so that it can be applied during the individual work of the students on the tutorials.
Tutorials will provide space for discussing the problems, showing practical tasks and exercising on simple examples.
Learning Outcomes of the Course Unit
Graduate Course gives the following knowledge and skills:
basic theoretical background for Bioinformatics,
implementation and application of selected methods for DNA, RNA, proteins analysis.
practical application to real data.
Data visualization.
Course Contents
Introduction to Molecular Biology
Sequence Similarity
Suffix Tree
Database search
Alignment
Algorithm Needleman-Wunsch
Phylogeny Reconstruction
Phylogeny Comparison
RNA secondary structure prediction
DNA Sequencing
Population genetics
Recommended or Required Reading
Required Reading:
Wing-Kin Sung. Algorithms in Bioinformatics: A Practical Introduction. Chapman & Hall/CRC Mathematical & Computational Biology. 2009.
Arthur Lesk. Introduction to Bioinformatics. Oxford University Press, 2014.
Pierre Baldi;G. Wesley Hatfield. DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling. Cambridge University Press 2002.
Wing-Kin Sung. Algorithms in Bioinformatics: A Practical Introduction. Chapman & Hall/CRC Mathematical & Computational Biology. 2009
Arthur Lesk. Introduction to Bioinformatics. Oxford University Press, 2014.
Fatima Cvrčková. Úvod do praktické bioinformatiky. 1. vyd. Praha: Academia, 2006.
Pierre Baldi;G. Wesley Hatfield. DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling. Cambridge University Press 2002.

Recommended Reading:
Caroline St. Clair, Jonathan E. Visick. Exploring Bioinformatics: A Project-Based Approach. Jones & Bartlett Learning, 2013.
Caroline St. Clair, Jonathan E. Visick. Exploring Bioinformatics: A Project-Based Approach. Jones & Bartlett Learning, 2013.
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Graded creditGraded credit100 51