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Collapse General Hands-on Information
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EBITrainingEBI User Training ProgrammeHands-onEMBO Practical Course: Advanced analysis and informatics of microarray data

Hands-on training at EBI - EMBO Practical Course: Advanced analysis and informatics of microarray data

Course Summary
Course Details Title: EMBO Practical Course: Advanced analysis and informatics of microarray data
Date: 18-23 October 2010
Venue: EMBL-EBI, Hinxton, Cambridge, CB10 1SD, UK
Organisers: Gabriella Rustici
Admin Support: Holly Foster
Registration Opens: 15 June 2010 (t.b.c.)
Registration Deadline: 3 September 2010 - 12 noon (GMT) (t.b.c.)




Details of the course programme, trainers and the cost are yet to be confirmed. If you would like to register your interest in this course and be the first to hear of any updates please send us an email using the following link:
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Course Overview

Is it right for me?

This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply microarray technologies and bioinformatics methods in their research. Participants who have already performed microarray based experiments are encouraged to bring their own data to analyze it during the last practical session of the course.
The aim of this course is to familiarize the participants with advanced data analysis methodologies and provide hands-on training on the latest analytical approaches.

What will I learn?

  • There will be 8-10 lectures (~25% of the course) which will give insight into how biological knowledge can be generated from microarray experiments and illustrate different ways of analyzing such data
  • The practical sessions (~75% of the course) will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of microarray data under the guidance of the lecturers and teaching assistants
  • On the last day, participants will have the chance to analyze their own data and discuss the results with the trainers

What will it cover?

  • Fundamental steps in the analysis of microarray data including pre-processing, exploratory analysis and quality assessment
  • Principles of experimental design
  • Introduction to R and Bioconductor
  • Focus on the Bioconductor package limma and the use of linear models for the assessment of differential expression
  • Overview of various open source software for microarray data analysis, including MeV (http://www.tm4.org/mev.html) and several web tools for functional analysis of gene lists (http://biit.cs.ut.ee/software)
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Programme

The detailed course programme will be posted in March 2010.
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Registration and Payment

The full costings are yet to be decided but details will be made available before registration opens.
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Trainers

Detailed list of trainers to be confirmed.

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