IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2020
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type 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
Mon 17. 2. to Fri 15. 5. Thu 9:00–9:50 C525
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
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 80 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Learning outcomes
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2020, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2020/IV106