Course detail

Advanced analysis of large genomic data

FEKT-DBT1Acad. year: 2019/2020

Representation of genomic and proteomic data. Deterministic and probabilistic models of sequence evolution. Methods of construction of large phylogenetic trees. Motifs searching in genomic and proteomic sequences.

Learning outcomes of the course unit

Not applicable.


Not applicable.


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Snustad, D. P., Simmons, M. J. Genetika. Nakladatelství Masarykovy univerzity, Brno, 2009.
Higgs, P. G., Attwood, T. K. Bioinformatics and Molecular Evolution. Blackwell Publishing, 2005.
Yang, Z. Computational Molecular Evolution. Oxford University Press, 2006.
Mandoiu, I. I., Zelikovski, A. Bioinformatics Algorithms. A John Wiley Publishing, 2008.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Language of instruction


Work placements

Not applicable.

Course curriculum

1. Principles of representation of genomic data.
2. Deterministic descriptionof sequences in space.
3. The theory of fractals in the representation of sequences.
4. Deterministic models of sequence evolution.
5. Probabilistic models of sequence evolution.
6. Advanced principles of phylogenetics.
7. Methods of construction of large phylogenetic trees.
8. Quality in phylogenetics.
9. Principles of representation of proteomic data.
10. Advanced encoding of proteomic data.
11. Motif search in genomic and proteomic sequences.


The aim is to provide an overview of current topics in the field of biological sequence processing with a focus on deterministic and probabilistic methods.

Classification of course in study plans

  • Programme BTB-PP Doctoral

    branch PP-BTB , 1. year of study, summer semester, 4 credits, optional specialized

  • Programme BTB-PK Doctoral

    branch PK-BTB , 1. year of study, summer semester, 4 credits, optional specialized

Type of course unit



39 hours, optionally

Teacher / Lecturer