SSB-31312 Toolbox in Systems and Synthetic Biology


Studiepunten 12.00

Course coordinator(s)dr. E Saccenti
Lecturer(s)E Asin Garcia
L Garcia Morales
dr. E Saccenti
Examiner(s)dr. E Saccenti

Language of instruction:


Assumed knowledge on:

Basic knowledge in biological sciences; Basic knowledge of laboratory techniques is assumed for wet lab projects;
Knowledge of R or Matlab or Python is advised for computational projects. 
Basic knowledge of statistics. 

SSB-50806 Systems and Synthetic Biology

Continuation courses:

SSB-BSc/MSc thesis in Systems and Synthetic Biology


Are you interested in molecular biology, genetic engineering or biotechnology? Are you passionate about new designs, circuits, modeling and computer science and computational biology?

The Toolbox of Systems and Synthetic Biology course brings together these subject areas to explore sophisticated tools to solve scientific problems.

Systems Biology is an integrative research area that analyzes the mechanisms by which cellular components, cells, organisms or communities interact in space and time through mathematical modeling. Synthetic Biology, on the other hand, is a multidisciplinary field of science that involves the application of engineering principles (modularity, standardization and abstraction) to biology. It seeks to create not only new biological entities but also new parts, devices, and systems, or to redesign those already found in nature for useful purposes.

In Systems Biology one aims to analyze and understand natural systems while in Synthetic Biology one aims to exploit this knowledge to engineer new functionalities. These fields provide novel possibilities for biological designs (circuits, pathways, cells, networks, communities, etc), their construction and their final test with the aim to get a better understanding of biological principles or for the production of novel products.

In this course you will work alone or in couple on real-life scientific problems: you will receive coaching and supervision but you will be free to explore different approaches

Candidate students may choose the field in which they would like to pursue their project upon availability; these can be experimental, computational. Please contact the course coordinator before registering to receive information about project opportunities. There is limited space in the laboratory and experimental (wet-lab) project will be assigned on a first-come, first-served basis.

Learning outcomes:

After successful completion of this course students are expected to be able to:
- recognize the concepts of Systems and Synthetic Biology;
- recognize and apply the most important computational and statistical tools used in Systems Biology;
- design experiments based on the objectives and hypotheses;
- dollect experimental data and integrate them with results from mathematical simulations and present them in a structured manner;
- discuss results, draw conclusions and present them written and orally.


Experimental or computational project as a member of a team.


The final mark is based on:
Written report on the computational\\experimental work  (accounting for 40% of the final grade);
Final presentation of the project results (10% of the final grade);
Performance in the laboratory or in the computer room (50% of the final grade).


Articles, tutorials, guidelines, protocols, references and suggested readings will be made available at the Brightspace site of the course.

Keuze voor: MBTBiotechnologyMScC: Spec. C - Medical Biotechnology5WD, 6WD