Detailed information about the course

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Title

Introduction to Biological Network Analysis

Dates

15-17 November 2016

Lang EN Workshop language is English
Responsable de l'activité

Ioannis Xenarios

Organizer(s)

Dr. Mark Ibberson, SIB

Speakers

Dr. Scooter Morris, University of California, San Francisco, USA
Dr. Francisco Azuaje, Luxembourg Institute of Health, Luxembourg
Dr. Mark Ibberson, SIB
Dr. Frédéric Burdet, SIB
Leonore Wigger, SIB/UNIL

Description

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.

Location

University of Lausanne - Génopode

Map

Map

Information

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

 

Free for members of StarOmics, CHF 150.- for academics. This includes course content material, coffee breaks and a social dinner. Participants from non-academic institutions should contact us before application.

 

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.

 

Provisional program

 

Day 1Morning - 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

Expenses

Free for members of StarOmics, CHF 150.- for academics. Other, please contact us.

Registration

CUSO PhD students: through your MyCUSO account. External participants (non-CUSO PhD students, post-docs, etc...): use the icon "registration" at top of page and the last gray box "non-CUSO student" ("personne hors myCUSO").

Places

30

Deadline for registration 05.11.2016
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