SSB-30306 Systems Biology: From Omics to Integrative Biological Networks


Code last year: (MIB-31806)

Course

Credits 6.00

Teaching methodContact hours
Lectures36
Literature study12
Practical intensively supervised76
Problem-based learning22
Self-study14
Course coordinator(s)dr. PJ Schaap
Lecturer(s)dr. PJ Schaap
prof. dr. D Weijers
prof. dr. SC de Vries
dr. ir. CA Maliepaard
Examiner(s)prof. dr. SC de Vries
prof. dr. VAP Martins dos Santos

Language of instruction:

English

Assumed knowledge on:

Basic knowledge of statistics, Microbiology & Biochemistry or Gentechnology 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 using special analysis and visualization techniques to extract relevant information for elucidating the function of genes, proteins and metabolites, the interactions between these molecules and the underlying regulatory mechanisms. The course is modular and focuses on data generation, mining, analysis and visualisation and data integration.

Learning outcomes:

Knowledge (of):
- micro array data handling specifically: Data Pre-processing, background subtraction, Log transformation;
- variation Control: Experimental design, Normalisation methods and Scaling;
- metabolomics data handling specifically: Sampling variation and biases and sampling methods GC-MS, LC-MS, NMR, FTIR;
- metabolomics data Output processing, Baseline correction, Peak assignment. Skills:
- an ability to preproces and analyze microarray and metabolomics data;
- an ability to understand and interpret mass spectrometry datasets of proteins;
- an ability to synthesise 'omics' information with respect to the biological questions.

Activities:

Hands on course, lectures, training and study of relevant literature, programming in R.

Examination:

20%: Written reports on the results obtained from the exercises and 80%: Written examination (open book/internet).

Literature:

During the course, literature and exercises will be available at http://www.systemsbiology.nl.

ProgrammePhaseSpecializationPeriod
Restricted Optional for: MBFBioinformaticsMSc3WD