IV108 Advanced Algorithms in Bioinformatics

Faculty of Informatics
Spring 2026
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
doc. Ing. Matej Lexa, 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
Wed 18. 2. to Wed 13. 5. Wed 10:00–11:50 C122
Prerequisites
IV107 Bioinformatics I or consent of the teacher. Elementary algorithms and programming skills are 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
there are 37 fields of study the course is directly associated with, display
Abstract
Introduction to selected algorithms and methods of analysis used in bioinformatics.
Learning outcomes
At the end of the course, the students will:
understand the structure and composition of eukaryotic genomes
understand the inner workings of selected algorithms and tools for sequence and genome analysis, their advantages and disadvantages, including knowledge of recent alternatives
be able to evaluate or design methods for solving current problems in bioinformatics
understand the principles of existing DNA sequencing methods and processing sequencing data
Key topics
  • Algorithms and data structures for sequence analysis
  • Biological language
  • Next-generation DNA sequencing methods and data processing
  • Expression profile and promoter analysis
Study resources and literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
  • JONES, Neil C. and Pavel PEVZNER. An introduction to bioinformatics algorithms. Cambridge, Mass.: MIT Press, 2004, xviii, 435. ISBN 0262101068. info
Approaches, practices, and methods used in teaching
lectures and exercises
Method of verifying learning outcomes and course completion requirements
Bonus exercices, final exam.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (recent)
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