Network-based approaches are becoming increasing popular for the visualisation and analysis of 'omics and other high dimensional data. Networks can be produced from a wide variety of biological relationships, such as interactions between individuals, disease transmission, sequence similarity, metabolic pathways, protein interactions, pathways, regulatory cascades etc.
This short practical course aims to examine some of the theory and uses of network graphs, and demonstrate how they may be used in biology to describe and analyse complex systems. The course will introduce network editing tools for the construction of networks, covering issues such as data exchange formats, layout options for small to medium size graphs and pathway depiction. We will also focus specifically on the use of networks to visualise and analyse 'omics data, in particular microarray expression data, using the tool BioLayout Express3D. This tool has been designed by us for the layout, clustering and analysis of very large network graphs in two- and three-dimensional space and offers a powerful new approach for analysing expression data.
The overall aim of the course is to provide an introduction to network graphs, the informatics tools that support their editing, display and analysis, and in so doing hopefully enable participants to apply some of what they have learnt to their own research.
Spaces on this workshop are limited so please register early to avoid disappointment.
Details on the charge associated with this event are found on the registration page.
