SubjectsSubjects(version: 954)
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
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
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
Cílem předmětu je seznámit posluchače s problematikou bioinformatiky, jejími cíli a postupy.
Last update: SMIDOVAL (18.05.2011)
Literature -

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

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

K zápočtu a ke zkoušce bude požadováno:

1. Test v polovině semestru

2. Písemná zkouška

Last update: SMIDOVAL (18.05.2011)
Syllabus -

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

Last update: SMIDOVAL (18.05.2011)