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Training
ARK-Genomics Microarray Data Analysis and Meta-Analysis Course (13th October -15th October 2008)
ARK-Genomics is pleased to announce another Microarray Array Data Analysis and Meta-Analysis Training Course to take place at the eScience Centre in Edinburgh from 13th October -15th October 2008.
This course will provide up-to-date training in the computer-based techniques for analysing microarray data. The format will consist of lectures and practical sessio ns run by experts in each field, using real data and case studies.
There will be a strong emphasis on practical work.
Content
Topics to be covered include microarray experimental design, normalisation; analysis of differential gene expression; analysis of gene pathways etc.
For further details, see course outline further down below.
Dates
Monday 13th October –Wednesday 15th October 2008
Location
National e-Science Centre
e-Science Institute
15 South College Street
Edinburgh EH8 9AA
Scotland, UK
http://www.nesc.ac.uk/
Costs
Costs for the course will be £275 for the course which includes course materials, lunches and refreshments. There is also a conference dinner on the Monday 13th October at a cost of £30.50. (Even though this event is being supported by ARK-Genomics and the eScience centre, we will have to ask for a fee to cover a portion of the costs invol ved.)
Registration
This course is limited to 20 attendees. In order to secure your place, please visit the National e-Science Centre web site and enter your details.
Payment Details
Once registered, payment details will follow (via email).
Accommodation
The e-Science Centre can arrange discounted accommodation in local B&Bs and hotels. Please indicate if accommodation is required when registering.
Further Information
For Questions regarding the Course, please contact info@ark-genomics.org.
Course Outline
13 OCTOBER 2008 (Day 1)
Microarrays overview, one and two colour systems
Normalisation (Global normalisation, LOESS, array QC)
Analysis of two sample experiments
Analysis of more complex experiment 1 (Multivariate analysis)
14 OCTOBER 2008 (Day 2)
Analysis of a case study using R and Genstat (Instructor lead; two different case studies Time course and time treatment interactions)
Analysis of more complex experiment 2 (ANOVA)
Analysis of more complex experiment 3 (Clustering)
Analysis of a case study using R (Instructor lead; two different case studies)
Microarray experimental design (Direct comparison, reference designs, dye swap, types of replication)
15 OCTOBER 2008 (Day 3)
Gene annotation and /or ontology
Tools for analysis for gene pathways
Constructing networks
Lecturers & Tutors:
Prof Ernst Wit, Lancaster University
Dr Luc Janss, University of Aarhus
Dr Mick Watson, IAH / Compton