Microarray Data Analysis using R and Bioconductor

Course description:
This course aims to introduce researchers to a multidisciplinary approach to
microrray data analysis. Particular attention is devoted to the design of
microarray experiments, data normalization and quality control as well as to
statistical analysis. Participants might find the provided basic training
invaluable for: how to approach designing microarray experiments planned in
their lab; gaining knowledge and understanding of microarray analysis and
quality issues; gaining confidence in performing preprocessing, quality
assessment, and differential expression and downstream analysis using the
limma program and other R libraries in Bioconductor. The course covers a
wide range of platforms and more specific topics, such as the analysis of
Illumina, Affymetrix and Array CGH data.
Target audience: All aspects of the course are aimed at
non-statisticians, suitable for beginners in microarrays as well as
those who have already been working in genomics. The course may also be
useful to computational biologists new to microarray analysis. The
course is intensive so a highly motivated group of trainees, looking
forward to dealing with microarray data in the near future, is
expected.
Pre-requisites:
Basic Molecular Biology, Elementary level Statistics.

Course URL: http://gtpb.igc.gulbenkian.pt/bicourses/MDARB09/