PřF:Bi5000c Bioinformatics - practice - Course Information
Bi5000c Bioinformatics - practiceFaculty of Science
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
- doc. RNDr. Roman Pantůček, Ph.D. (seminar tutor)
prof. Mgr. Jiří Damborský, Dr. (seminar tutor)
Mgr. Ivana Mašlaňová, Ph.D. (seminar tutor)
Mgr. David Bednář, Ph.D. (seminar tutor)
Mgr. Lukáš Daniel, Ph.D. (seminar tutor)
Mgr. Petra Babková (seminar tutor)
Mgr. Pavol Bárdy (seminar tutor)
Mgr. Tomáš Buryška, Ph.D. (seminar tutor)
Ing. Klaudia Chmelová (seminar tutor)
Mgr. Lukáš Chrást (seminar tutor)
Mgr. Adéla Indráková (seminar tutor)
Mgr. Pavel Vaňáček (seminar tutor)
Mgr. Michal Zeman (seminar tutor)
Mgr. Martina Damborská (assistant)
- prof. Mgr. Jiří Damborský, Dr.
Department of Experimental Biology - Biology Section - Faculty of Science
Contact Person: prof. Mgr. Jiří Damborský, Dr.
Supplier department: Department of Experimental Biology - Biology Section - Faculty of Science
- Prerequisites (in Czech)
- Bi5000 Bioinformatics || NOW ( Bi5000 Bioinformatics ) && ! Bi9061 Bioinformatics - practice
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 70 student(s).
Current registration and enrolment status: enrolled: 0/70, only registered: 38/70, only registered with preference (fields directly associated with the programme): 23/70
- Fields of study the course is directly associated with
- there are 6 fields of study the course is directly associated with, display
- Course objectives
- Students will gain practical understanding of several bioinformatic databases and tools commonly used in biological and biochemical research. The main objective of this course is to providee students with hands-on experience with various bioinformatic databases and software tools. The practicals follow the theory presented during the lectures of Bioinformatics I - nucleic acids and Bioinformatics II- proteins. We will cover various topics from sequence to structural bioinformatics. The students are expected to learn, how to set up bioinformatic analysis and how to properly interpret the results of their analysis.
- Learning outcomes
- The outcomes of the Bioinformatics practise is new knowledge and experience of the students with bioinformatic databases and tools. The students with have necessary know how and skill to carry out sequence and structural bioinformatic analyses independently. They will be able to select proper data sources and the tools for various tasks related to biological and biochemical experiments.
- 1. Bioinformatic databases
- 2. Manipulation with sequence data
- 3. Primer design and restriction analysis
- 4. Pairwise sequence alignment
- 5. Multiple sequence alignment
- 6. Gene prediction
- 7. Protein sequence analysis
- 8. Preparation of nucleotide sequence for database submission
- 9. Structure databases
- 10. Prediction of protein structure
- recommended literature
- CLAVERIE, Jean-Michel and Cedric NOTREDAME. Bioinformatics for dummies. 2nd ed. Hoboken, N.J.: Wiley, 2007. xviii, 436. ISBN 9780470089859. info
- Teaching methods
- practice in computer lab
- Assessment methods
- Written test - practical tasks
- Language of instruction
- Further Comments
- The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: every week.
- Teacher's information
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/autumn2019/Bi5000c