Course detail

Bioinformatics

FIT-IV108Acad. year: 2019/2020

An advanced course in bioinformatics (lecture and computer lab) building upon elementary mol.biology and/or bioinformatics courses.

Language of instruction

Czech

Number of ECTS credits

0

Mode of study

Not applicable.

Guarantor

Ing. Matej Lexa, Ph.D.

Department

Faculty of Informatics MU (FI MU)

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

Not applicable.

Classification of course in study plans

  • Programme VTI-DR-4 Doctoral

    branch DVI4 , any year of study, winter semester, elective

  • Programme VTI-DR-4 Doctoral

    branch DVI4 , any year of study, winter semester, elective

Type of course unit

 

Lecture

13 hours, optionally

Teacher / Lecturer

Ing. Matej Lexa, Ph.D.

Syllabus

1. Biological language (sequence segmentation, information-statistical analysis of biological sequences)
2. Pattern matching (algoritms based on filtration and suffix arrays)
3. Heuristic algorithms for similarity searching in biological sequences (BLAST, BLAT, Pattern Hunter)
4. Regular expressions in bioinformatics
5. Algorithms for analysis and prediction of structural data (secondary strukture, contacts inb proteins, domain identification)
6. Algorithms for analysis and prediction of structural data (3D structure, structural comparisons)
7. Working with molecular structures in Pymol
8. New methods of DNA sequencing
9. Genome assembly and other operations on short nucleic acid sequences
10. Prediction of melting temperature in DNA and other nucleic acids (program mfold)
11. RNA secondary structure
12. DNA computing
13. Comparative genomics of human (analysis of scientific papers)

Guided consultation in combined form of studies

26 hours, optionally

Teacher / Lecturer

Ing. Matej Lexa, Ph.D.

Fundamentals seminar

13 hours, compulsory

Teacher / Lecturer

Ing. Matej Lexa, Ph.D.