MDARB08 Microarray Data Analysis using R and Bioconductor
NEW DEADLINE Sept 8th
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
