CSAMA10: Computational Statistics for Genome Biology (Eigth Edition) This one week intensive course is intended to give insights into recent advances in statistical and computational aspects of the design and interpretation of microarray experiments. The course is intended mainly for researchers with a basic understanding of microarray technology and its statistical and computational challenges. The four practical sessions of the course will be most beneficial for participants that are able to converse in a programming language such as R. What will it cover? (tentative list) * Introduction to R and Bioconductor * RNA-Seq and ChiP-Seq data analysis * Microarray analysis * Statistics for differential expression * Sequence manipulation * Annotation of genes, genomic features and variants * Gene set enrichment analysis * Machine Learning * High-throughput image analysis Where? Brixen-Bressanone (Alps!), Italy When? 14-18 June 2010 Please see http://marray.economia.unimi.it/ List of speakers (incomplete) Robert Gentleman, Genentech (USA) Wolfgang Huber, European Bioinformatics Institute (UK) Audrey Kauffman, Bergonie Cancer Institute (FR) Martin Morgan, Fred Hutchinson Cancer Research Center (USA) Best wishes Stefano ----------------------------------- Stefano M. Iacus Department of Economics, Business and Statistics University of Milan Via Conservatorio, 7 I-20123 Milan - Italy Ph.: +39 02 50321 461 Fax: +39 02 50321 505 http://www.economia.unimi.it/iacus ---------------------------------------------------------------------- -------------- Please don't send me Word or PowerPoint attachments if not absolutely necessary. See: http://www.gnu.org/philosophy/no-word-attachments.html