University of Cambridge Training

Bioinformatics: EMBL-EBI - Network Analysis - Cytoscape and PSICQUIC new 

Provided by: GSLS

Mon 27 Jan 2014  –  Department of Genetics, Room G12

Bookings cannot be made on this event (Event is completed)

Register your interest - if you would be interested in additional dates being scheduled.

Description: This session provides an introduction to Network Analysis at the European Bioinformatics Institute (EBI). Further information for this session is available here.

This session is one of a series of short introductions to EBI Services, run together, but bookable separately (see Related Courses section below).

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

Target audience:

  • Our courses are open to all who might benefit
  • Booking priority is given to people from Cambridge University and Collaborating Institutes
  • Individual Course fees are required only from External participants not from Collaborating Institutes

The course is aimed to biologists and computer scientists wanting to learn the basics of network analysis. Basic knowledge of interaction data resources and techniques is recommended, no previous experience with Cytoscape or PSICQUIC is required.

Duration: 1


Number of sessions: 2

Date Time Venue Trainer
Mon 27 Jan 09:30 - 12:30 Department of Genetics, Room G12 Pablo Porras
Mon 27 Jan 13:30 - 17:00 Department of Genetics, Room G12 Pablo Porras

Format: Presentations, demonstrations and practicals

Frequency: A number of times per year


  • Basic computing skills
  • Graduate level in Life Sciences

Aims: During this course you will learn about:

  • Molecular Interaction Network Analysis

Objectives: After this course you should be able to:

  • Comprehend the basic principles of network analysis
  • Use the PSICQUIC client to integrate public molecular interaction data
  • Analyse and represent networks using Cytoscape
  • Integrate external data
  • Apply attribute-based filters
  • Use plugins for clustering and GO enrichment

Related courses: