Network Analysis

Overview

The course will introduce the basic concepts of biological network analysis and provide practical instruction on commonly used bioinformatics tools to analyse and visualize biological networks. The course will start with a short symposium on biological network analysis covering network analysis and theory, visualization of complex networks and application to real biological problems. The symposium will be followed by theoretical and practical sessions where course participants will gain practical knowledge on how to perform different biological network analyses and how to visualize and interpret the results of such analyses.

Audience

This course targets biologists and bioinformaticians with some experience in analysing biological data. Intermediate level.

Learning objectives

At the end of this course, participants are expected to be able to:

• analyse and visualise biological data in networks with Cytoscape;
• manipulate networks within the R environment;
• perform and interpret results of weighted correlation network analysis in R

Prerequisites

Knowledge / competencies:

Participants should have a basic working knowledge of R and be familiar with working with and manipulating biological data.

Technical:

Participants must bring a laptop and the latest version of the R Studio and Cytoscape software installed.

Application

The registration fees for academics are 150 CHF. This includes course content material, coffee breaks and a social dinner. Participants from non-academic institutions should contact us before application. REGISTER HERE.

Deadline for registration and free-of-charge cancellation is set to November 5, 2016. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to this and other general conditions, available here.

You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.

Location

University of Lausanne, Génopode Building, room 2020 (UNIL sorge M1 line stop)

Additional information

Coordination: Grégoire Rossier (SIB), Corinne Dentan (UNIL/CUSO/Staromics)

You are welcome to register to the SIB courses mailing-list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

For more information, please contact training@sib.swiss.

Provisional program

Day 1
Morning - Short Symposium on Network analysis
Afternoon - Practical on network visualization and analysis in Cytoscape

Day 2
Weighted gene correlation network analysis (WGCNA) - theory and practical

Day 3
Network manipulation and analysis in R - theory and practical