Course detail

Advanced Bioinformatics

FIT-PBIAcad. year: 2010/2011

Not applicable.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. Matej Lexa, Ph.D.

Department

Department of Computer Systems (UPSY)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

  • Jones N.C., Pevzner P.: An introduction to algorithms in bioinformatics. MIT Press, 2004, ISBN 978-0262101066

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , 2. year of study, winter semester, compulsory

Type of course unit

 

Lecture

20 hours, optionally

Teacher / Lecturer

Ing. Matej Lexa, Ph.D.

Syllabus

  1. Introduction
  2. Primary and derived bioinformatic data
  3. Statistical, information-theory and linguistic aspect of data
  4. Genomes and genome analysis methods
  5. Uniprot and sequence analysis methods
  6. Coding algorithms for biological sequence analysis
  7. PDB and structural data analysis
  8. Gene Ontology and functional data analysis
  9. Integration of data from multiple sources for genomics and proteomics
  10. Tools and libraries for software development (Biopython)
  11. Visualization tools (PyMol)
  12. Bioinformatics and nanotechnology: DNA computing, sequencing by hybridization
  13. Recent trends

Exercise in computer lab

13 hours, optionally

Teacher / Lecturer

Ing. Matej Lexa, Ph.D.

Syllabus

  1. Biological sequence analysis (Bioperl, C/C++)
  2. Other methods of sequence analysis
  3. Biopython
  4. PyMol
  5. Integration of bioinformatic data

Project

6 hours, optionally

Teacher / Lecturer

Ing. Matej Lexa, Ph.D.