This module will train participants to evaluate and use DNA and protein sequences and structure. The emphasis will be on the use of computational tools to gain information about genes and variants, their function and associations with disease, as well as predicting protein structure. Computational biology databases and tools that aid in the interpretation and understanding of biomedical research results and their placement within the wider context of the field will be explored. In addition students will be introduced to multivariable analysis of data (e.g., Principal Component Analysis and K-means clustering). It will demonstrate how these techniques can be applied to gene expression data, to reduce the dimensionality of the data, reveal clinically relevant clusters, perform relevant statistical tests to identify associated variables and interpret the results.

Detailed Description

Full programme information can be found in the Module and Programme Catalogue

International Sales tax may need to be added to the module fee for students resident in countries where online education attracts a sales tax. Please consult your Advisor.