PV269 Advanced methods in bioinformatics

Faculty of Informatics
Spring 2025
Extent and Intensity
2/0/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
doc. RNDr. David Šafránek, Ph.D. (alternate examiner)
Guaranteed by
doc. RNDr. David Šafránek, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Prerequisites
The student is expected to have basic knowlege in bioinformatics. They must have passed IV108. Previous study of IV107, PA052 a PB050 is recommended.
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
Course objectives
To acquire practical skills in bioinformatics beyond the scope of bachelor courses, extending theoretical topics from IV108.
Learning outcomes
The student will be able to choose appropriate computational methods for a given problem; obtain and prepare relevant data; carry out necessary computation using their own or publicly available programs.
Syllabus
  • Genomic sequences
  • - Advanced techniques for NGS data
  • - Sequence motif detection and genome annotation
  • - Advanced work with genome browsers
  • Proteins
  • - Hidden Markov models (HMM)
  • - Protein structure analysis
Literature
  • Next-generation DNA sequencing informatics. Edited by Stuart M. Brown. Second edition. Cold Spring Harbor: Cold Spring Harbor Laboratory Press, 2015, xiv, 402. ISBN 9781621821236. info
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
a combination of short lectures, exercises and homework
Assessment methods
Graded exercises; written exam (zk) or project (k)
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (Spring 2025, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2025/PV269