PV225 Biolab Excursion

Faculty of Informatics
Autumn 2026
Extent and Intensity
1/2/0. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
In-person direct teaching
Teacher(s)
doc. Mgr. Pavel Dvořák, Ph.D. (lecturer)
doc. RNDr. David Šafránek, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. David Šafránek, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. RNDr. David Šafránek, Ph.D.
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 15. 9. to Tue 15. 12. Tue 18:00–19:50 A217
  • Timetable of Seminar Groups:
PV225/01: No timetable has been entered into IS.
PV225/02: No timetable has been entered into IS.
Prerequisites
There are no preconditions. Students are expected to be interested in overlapping disciplines combining Biology and Informatics.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 40 student(s).
Current registration and enrolment status: enrolled: 33/40, only registered: 0/40, only registered with preference (fields directly associated with the programme): 0/40
fields of study / plans the course is directly associated with
there are 33 fields of study the course is directly associated with, display
Abstract
The aim of the course is to allow bioinformatics students to gain insight into selected experimental and research laboratories, thereby familiarizing them with various aspects of the application of bioinformatics.
Learning outcomes
After completing the course, students will have acquired the following knowledge:

  • a basic idea of selected experimental laboratory techniques; 
  • a basic notion of the context of various application areas of bioinformatics: microbial synthetic biology, biotechnology, structure and sequence analysis, systems biology; 
  • an idea of the application of computational models.

Key topics
  • I Computational Systems Biology
  • I.1 Concept of a computational model (summary; biological process as a system; computational models of systems dynamics)
  • I.2 Role of computational systems biology in microbial biology (computational models of bacterial metabolism and their applications)
  • I.3 The problem of identifying computational models from different types of data 
  • II Excursion into Microbial Synthetic Biology
  • II.1 Bacterial metabolomics (metabolic processes of bacteria and their applications; population growth; extremophilic organisms and their advantages)
  • II.2 Experimental techniques (measurement of cell population growth in a bioreactor; plasmid technologies)
  • II.3 Collection and analysis of growth data
Study resources and literature
  • Metabolomics : a powerful tool in systems biology. Edited by Jens Nielsen - Michael C. Jewett. Berlin: Springer, 2007, xv, 284. ISBN 9783540747185. info
  • Metabolomics : the frontier of systems biology. Edited by Masaru Tomita - Takaaki Nishioka. Tokyo: Springer, 2005, viii, 256. ISBN 4431251219. info
  • Metabolome analyses : strategies for systems biology. Edited by Seetharaman Vaidyanathan - George G. Harrigan - Royston Goodacre. New York: Springer, 2005, xix, 390. ISBN 0387252398. info
Approaches, practices, and methods used in teaching
block lectures and exercises; excursions to selected experimental laboratories
Method of verifying learning outcomes and course completion requirements
Active participation in the excursions, completion of a final questionnaire covering a review of the knowledge acquired and feedback.
Language of instruction
Czech
Follow-Up Courses
Teacher's information
Výuka probíhá blokově, v semestru podzim 2026 proběhne zahajovací přednáška 22.9.2026 18-20 v A217. Termíny exkurzních bloků budou postupně upřesňovány a zveřejněny v záhlaví interaktivní osnovy.
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024, Autumn 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2026/PV225