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

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.

• 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.

• Basic computing skills
• Graduate level in Life Sciences

Number of sessions: 2

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

During this course you will learn about:

• Molecular Interaction Network Analysis

Presentations, demonstrations and practicals

1

A number of times per year

• Bioinformatics: EMBL-EBI - Introduction to EBI Resources
• Bioinformatics: EMBL-EBI - An Introduction to Sequence Searching
• Bioinformatics: EMBL-EBI - Archives for Next Generation Sequence Data with the EBI
• Bioinformatics: EMBL-EBI - Transcriptomics Data and Tools
• Bioinformatics: EMBL-EBI - Protein Databases and Tools
• Bioinformatics: Mass Spectrometry Proteomics at the EBI
• Bioinformatics: EMBL-EBI - Metabolomics Databases and Tools
• Bioinformatics: EMBL-EBI - Bringing Structure to Biology - Protein Structures and Tools