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Fri 10 Jul 2020
10:00 - 11:30

Venue: Bioinformatics Training Facility - Webinar (Time Zone = BST)

Provided by: Bioinformatics


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An Introduction to Biological Networks & their Visualization (Webinar)

Fri 10 Jul 2020


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.

Target audience
  • 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

# Date Time Venue Trainer
1 Fri 10 Jul   10:00 - 11:30 10:00 - 11:30 Bioinformatics Training Facility - Webinar (Time Zone = BST) Gita Yadav
Topics covered

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


Times Topics
10:00 - 10:30 Introduction to Networks, Topologies and Visualisation Software
10:30 - 11:00 Create, Visualise & Cluster networks in Cytoscape and R
11:00 - 11:15 Network Aesthetics and Tips for Visualisation
11:15 - 11:30 Q & A
11:30  Closure

1.5 Hours

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