IV107 Bioinformatics I

Faculty of Informatics
Spring 2006
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
RNDr. Jan Flasar, Ph.D. (assistant)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 10:00–11:50 A107
Prerequisites
This is an entry course into the area of bioinformatics for students of non-biological disciplines, there are no prerequisites.
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 17 fields of study the course is directly associated with, display
Course objectives
This course is a new applied subject available at the Faculty of Informatics. It will lead the students into the fascinating world of molecules, genes and proteins. Currently, bioinformatics is going through a period of unusual growth. Abilities to think and act as a bioinformatician (to work with large biological datasets using modern computer science methods) are needed in many areas of science and applied disciplines, especially biology, medicine and chemistry. The first part of the course will be dedicated to basics of biology necessary for someone who has not studied biology to enter the field of bioinformatics. In the second part, important biological problems that can be best tackled by computers will be studied. Lectures will be given once a week (2hrs). Written examination will be given at the end of the semester.
Syllabus
  • 1. The history and subject of bioinformatics 2. Basics of molecular biology - Organization of living matter - DNA structure and function - Protein structure and function - Evolution of genes and proteins 3. Bioinformatic data - Data sources - Common data types 4. Public sequence data and their access 5. DNA sequence analysis 6. Protein sequence analysis 7. Structural and functional data 8. Similarity searches and scoring 9. Other types of data and their analysis 10. Expression data 11. Protein digests and mass spectra 12. Literature data analysis
Literature
  • Fundamental concepts of bioinformatics. Edited by Dane E. Krane - Micheal L. Raymer. [1st ed.]. San Francisco: Benjamin Cummings, 2003, xiii, 314. ISBN 0-8053-4633-3. info
Assessment methods (in Czech)
V průběhu semestru absolvují studenti jeden kontrolní test. Předmět bude ukončen písemní zkouškou, podmínkou připuštění ke zkoušce je absolvování kontrolního testu s hodnocením nejméně 2/3 maximálního skóre.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/iv107.html
The course is also listed under the following terms Spring 2005, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, 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 (Spring 2006, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2006/IV107