Course detail

System Biology

FEKT-MPC-SYSAcad. year: 2019/2020

Not applicable.

Learning outcomes of the course unit

Students will be able to:
- mathematically describe the main components of gene expression
- mathematically describe the main components of signal transduction pathways
- mathematically describe the main components of neuronal pathways
- analyze network graphs using network motifs
- name the main network motifs of transcription, signal-transduction and neuronal-system networks
- explain principles of the main network motifs of transcription, signal-transduction and neuronal-system networks
- describe experimental mathods in systems biology

Prerequisites

Students enrolled in this subject should be able to describe cellular systems, its main components regarding structure and function; analyze systems of ordinary differential equations and apply basic knowledge of probability distribution and combinatorics. In general, knowledge on the Bachelor's degree level is requested.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Konopka, A.K. Systems Biology: Principles, Methods, and Concepts. CRC, 2006, ISBN: 978-0824725204 (EN)
Klipp, E., Liebermeister, W., Wierling, C., Kowald, A., Lehrach, H., Herwig, R. Systems Biology: A Textbook. Wiley, 2009. ISBN: 978-3-527-31874-2 (EN)
Alon, U: An Introduction to Systems Biology, Design Principles of Biological Circuits. CRC, 2007, ISBN: 1-58488-642-0 (EN)
Maly, Ivan V. Systems biology. Humana Press, New York 2009. ISBN 978-1-934115-64-0. (CS)
Rosypal, S. Nový přehled biologie. Scientia, Praha 2003. ISBN 80-7183-268-5 (CS)
Dubitzky, W., Wolkenhauer, O., Cho, K.-H., Yokota, H., Encyclopedia of systems biology. Springer, New York 2013. ISBN 978-144-1998-644. (CS)

Planned learning activities and teaching methods

Techning methods include lectures and computer laboratories. Course is taking advantage of e-learning (Moodle) system.

Assesment methods and criteria linked to learning outcomes

upto 30 points from laboratories
upto 78 points from examination.
Examination has a written form.

Language of instruction

Czech

Work placements

Not applicable.

Aims

The aim of the subject is to provide students with basic knowledge of computational models in cellular biology and way of their use, knowledge of analysis methods applied to models in systems biology.

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

Laboratory tutorials are compulsory, properly justified absence can be compensated based on agreement of the tutor (usually in the last semester week).

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , any year of study, summer semester, 5 credits, optional

  • Programme MPC-BTB Master's, 1. year of study, summer semester, 5 credits, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Computer exercise

26 hours, compulsory

Teacher / Lecturer