Over deze cursus
Nowadays increasing numbers of complete genomic sequences are available and methods have been developed to study system wide gene expression, protein abundances and interactions and metabolite formation. Systems biology integrates the results of the different omics techniques in order to understand how they work together by using dedicated analysis and visualisation techniques (e.g. machine learning, networks). These methods allow the extraction of relevant information for elucidating the function of genes, transcripts, 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 visualisation.
Leerresultaten
Explain variation control and experimental design used in the generation of omics datasets
Apply univariate and multivariate statistical and machine learning (ML) methods to analyse omics data
Compare these statistical methods with each other and explain which method is applied for which type of biological question
Interpret mass spectrometry datasets of proteins
Construct, enhance and mine biological networks of molecular interactions from omics data
Analyse network topology using precise mathematical definitions, R and Cytoscape
Construct protein classes based upon network properties
Evaluate 'omics' information with respect to the biological questions
Toetsing
- Assignment reflection report (20%) Assignment is done in couples (n=2).
- Written test with open and closed questions (80%) Closed book digital exam via BYOD. Calculator and translator tools are provided within the software for examination. Rounding is performed only once on the final averaged mark.
Voorkennis
The course accepts students with a biological background. Preferably the student will have some experience with bioinformatics tools and statistics: the courses Computational Biology (SSB34306 ) and Advanced statistics (MAT20306) are highly recommended.
Bronnen
- During the course, lectures, literature and exercises will be available on Brightspace.
Aanvullende informatie
- Neem contact op met een coordinator
- Niveaumaster
- Instructievormop de campus
Startdata
5 jan 2026
tot 1 feb 2026