An Introduction to Biological Networks & their Visualization (Webinar)

This webinar is an Introduction to Biological Networks, their types, and applications. It will include two of the most commonly used open source Network Visualisation Platforms (R-igraph and Cytoscape) with step-wise protocols for creating and visualising your own data as a network. It will present some of the major layout algorithms, visual styles and tips for effective visualisation, with examples from biology revealing how these can improve analysis and provide insights.

The webinar will be presented in the form of a lecture as well as a tutorial with step-wise screenshots that enable listeners to emulate simple Network creation and analysis. Please note that this is a webinar and not a coding exercise. Links to publicly available resources and hands-on tutorials will be shared with you for further reading and practice.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

• This webinar is suitable for students and early career researchers in the Life Sciences.
• Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals.
• There is no fee charged for this event.

• None required.

Number of sessions: 1

Biological networks, R-igraph, Cytoscape, Data visualisation

After this course you should be able to:

• Conceptualise your own data as a network.
• Create a simple network using Cytoscape.
• Add node/edge attributes to your Network in Cytoscape.
• Perform MCODE Clustering on your Network in Cytoscape.
• Create empty, directed and undirected networks in R.

During this course you will learn about:

• How networks can improve data analysis and provide insights.
• Some of the major network layout algorithms & visual styles.
• Tips for effective visualisation.

Presentations and demonstrations

1.5 Hours

• EMBL-EBI: Network Analysis with Cytoscape (ONLINE LIVE TRAINING)
• Inferring Co-Expressing Genes and Regulatory Networks from RNA-Seq Data (Webinar)
• Identification of Eigen-genes, consensus modules and Network Motifs in co-expression (or other biological) networks. (Webinar)