Course details
Advanced Bioinformatics
Guarantor
Lexa Matej, Ing., Ph.D. (DFIT-Dean)
Language of instruction
Czech
Completion
Examination
Time span
- 20 hrs lectures
- 13 hrs pc labs
- 6 hrs projects
Department
Study literature
- Jones N.C., Pevzner P.: An introduction to algorithms in bioinformatics. MIT Press, 2004, ISBN 978-0262101066
Syllabus of lectures
- Introduction
- Primary and derived bioinformatic data
- Statistical, information-theory and linguistic aspect of data
- Genomes and genome analysis methods
- Uniprot and sequence analysis methods
- Coding algorithms for biological sequence analysis
- PDB and structural data analysis
- Gene Ontology and functional data analysis
- Integration of data from multiple sources for genomics and proteomics
- Tools and libraries for software development (Biopython)
- Visualization tools (PyMol)
- Bioinformatics and nanotechnology: DNA computing, sequencing by hybridization
- Recent trends
Syllabus of computer exercises
- Biological sequence analysis (Bioperl, C/C++)
- Other methods of sequence analysis
- Biopython
- PyMol
- Integration of bioinformatic data
Course inclusion in study plans