SubjectsSubjects(version: 916)
Course, academic year 2019/2020
Essential Bioinformatics - N143030A
Title: Základy bioinformatiky
Guaranteed by: Department of Informatics and Chemistry (143)
Faculty: Faculty of Chemical Technology
Actual: from 2013 to 2019
Semester: winter
Points: winter s.:5
E-Credits: winter s.:5
Examination process: winter s.:
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
For type:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Svozil Daniel prof. Mgr. Ph.D.
Spiwok Vojtěch prof. Ing. Ph.D.
Is interchangeable with: B143002
Examination dates   Schedule   
Annotation - Czech
Last update: Šmídová Ludmila (18.05.2011)
Cílem předmětu je seznámit posluchače s problematikou bioinformatiky, jejími cíli a postupy.
Literature -
Last update: Šmídová Ludmila (18.05.2011)

J. Xiong, Essential Bioinformatics, Cambridge University Press 2006, ISBN 0521600820

J.-M. Claverie, C. Notredame, Bioinformatics For Dummies, For Dummies 2006, ISBN 0470089857

M. Zvelebil, J. Baum, Understanding Bioinformatics, Garland Science 2007, ISBN 0815340249

Requirements to the exam - Czech
Last update: Šmídová Ludmila (18.05.2011)

K zápočtu a ke zkoušce bude požadováno:

1. Test v polovině semestru

2. Písemná zkouška

Syllabus -
Last update: Šmídová Ludmila (18.05.2011)

1) Background basics I - Structure of DNA and RNA. The central dogma.

Gene structure and control.

2) Background basics II - Evolution. Protein structure and its

implication for bioinformatics. Dealing with databases.

3) Sequence alignment I - Pairwise sequence alignment. Similarity

database searching.

4) Sequence alignment II - Multiple sequence alignment. Profiles and

Hidden Markov Models.

5) Genome characteristics - Gene Detection and Genome Annotation.

Promoter and regulatory element prediction.

6) Evolutionary processes - Recovering evolutionary history. Building

phylogenetic trees.

7) Structural bioinformatics I - Protein structure basics. Nucleic

acid structure basics.

8) Structural bioinformatics II - Prediction of protein structure

9) Structural bioinformatics III - Prediction of nucleic acids structure (RNA)

10) Proteome and gene expression analysis

11) High throughput screening experiments and their analysis

12) Data mining in bioinformatics

13) Biomedical text mining