SSB-30306 Molecular Systems Biology

Course

Credits 6.00

Language of instruction:

English

Assumed knowledge on:

Basic knowledge of statistics, Molecular Biology and Bioinformation Technology.

Continuation courses:

Toolbox Systems@work, Toolbox Molecular Biology.

Contents:

Nowadays increasing numbers of complete genomic sequences are available and methods have been developed to study system wide gene expression, protein interaction and metabolite formation. Systems biology integrates the results of the different omics techniques in order to understand how they work together by using special analysis and visualization techniques to extract relevant information for elucidating the function of genes, proteins and metabolites, to signify interactions between these molecules and to study the underlying regulatory mechanisms. The course is modular and focuses on data generation, mining, analysis and data integration and visualization.

Learning outcomes:

After successful completion of this course students are expected to be able to:
- remember frequently used sampling, normalization, scaling and classification methods for omics data;
- understand variation control and experimental design;
- apply frequently used statistical methods for data Pre-processing of expression data sets;
- apply methods for log transformation and scaling;
- understand and interpret mass spectrometry datasets of proteins;
- understand the construction of biological networks of molecular interaction from omics data;
- analyse network topology;
- construct protein classes based upon network properties;
- evaluate 'omics' information with respect to the biological questions.

Activities:

- hands on course;
- lectures;
- training and study of relevant literature;
- programming in R.

Examination:

- written reports on the results obtained from the assignment (20%);
- written examination (80%).

Literature:

During the course, literature and exercises will be available via Blackboard.