Computational and Statistical Aspects of Microarray Analysis (III) June 19-25 2005, Bressanone-Brixen, Italy This 5 days lecture series provides an introduction to genomic data and their interpretation. The main focus will be on microarray experiments, covering statistical topics such as preprocessing, normalization, quality assessment, gene identification, machine learning and inference for graphs and networks. Applications of these methods to proteomics and other high throughput technologies will also be covered. Computer laboratory material will be available for self-study. Participants should have some minimal background on biological, statistical and computational aspects of microarrays, or other high-throughput data. Participants interested in hands-on, interactive activities should consider signing up for the lecture and laboratory series (space is very limited). These require a basic knowledge of the R or S language. An introductory R course will be given. The maximum number of participants is 100 for the morning lectures and 30 for the laboratory sessions. Lecturers of the course: Robert Gentleman, Head of Program in Computational Biology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle (WA), USA. Wolfgang Huber, European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Cambridge, England (UK). Rafael A. Irizarry, Department of Biostatistics, Johns Hopkins University, School of Public Health, Baltimore (MD), USA. The course is organized by S.M.Iacus and F.Grigoletto at the Universities of Milan and Padua, Italy in collaboration with the Biocondutor project and the R Foundation for Statistical Computing. For further information, registration and topics please refer to the course web page "http://www.economia.unimi.it/marray" or contact stefano.iacus@unimi.it [apologizes for cross posting]