Detailed information about the course

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Title

Introduction to Biological Network Analysis

Dates

29-31 October 2018

Lang EN Workshop language is English
Responsable de l'activité

Ioannis Xenarios

Organizer(s)

Dr Grégoire Rossier, Vital-IT

Speakers

Prof. John Scooter Morris, University of California, USA

Dr. Mark Ibberson, Vital-IT, Lausanne, CH

Leonore Wigger, UNIL / Vital-IT, Lausanne, CH

Description

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 comprise 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. This 3-day course will be followed by a one-day workshop about advanced usage of Cytoscape by Dr. Scooter Morris (separate registration, the link will be provided soon).

 

Audience

 

This course is addressed to biologists and bioinformaticians with some experience in analysing biological data. Intermediate level.

 

Learning objectives

 

At the end of the course, the participants are expected 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

 

You are required to bring your own laptop, installed with the latest version of the R Studio and Cytoscape software.

Program

Brief course program

Day 1: Data analysis & visualization in Cytoscape

Day 2 AM: Data analysis & visualization in Cytoscape

Day 2 PM: Weighted Gene Correlation Network Analysis (WGCNA)

Day 3: Weighted Gene Correlation Network Analysis (WGCNA)

Location

UNIL, Génopode room 2020

Information

The course will start at 9:00 and end around 17:00. Precise information will be provided to the participants on due time.

Expenses

Free for CUSO PhD students

*Academic other: CHF 180.-

For-profit: CHF 900.-

 

*Academic fee includes non for-profit organisations, as well as unemployed participants at the time of application.

 

 

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 19.10.2018
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