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[Apologizes for cross-posting] Dear all, I’d like to draw your attention to the course CSAMA 2019 in Brixen/Bressanone - Statistical Data Analysis for Genome-Scale Biology (http://www-huber.embl.de/csama2019/ <http://www-huber.embl.de/csama2019/>). The one-week intensive course Statistical Data Analysis for Genome-Scale Biology teaches statistical and computational analysis of multi-omics studies in biology and biomedicine. It covers the underlying theory and state of the art (the morning lectures) and practical hands-on exercises based on the R / Bioconductor environment (the afternoon labs). At the end of the course, you should be able to run analysis workflows on your own (multi-)omic data, adapt and combine different tools, and make informed and scientifically sound choices about analysis strategies. The course is intended for researchers who have basic familiarity with the experimental technologies and their applications in biology, and who are interested in making the step from a user of bioinformatics software towards adapting or developing their own analysis workflows. If you have colleagues that you think might benefit, please let them know about the course. Thank you! Kind regards Stefano M. Iacus ----------------------------------- Prof. Stefano M. Iacus, Ph.D. Department of Economics, Management and Quantitative Methods University of Milan Via Conservatorio, 7 I-20123 Milan - Italy Ph.: +39 02 50321 461 Fax: +39 02 50321 505 Twitter: @iacus http://scholar.google.com/citations?user=JBs9tJ4AAAAJ&hl=en http://orcid.org/0000-0002-4884-0047 ------------------------------------------------------------------------------------ Please don't send me Word or PowerPoint attachments if not absolutely necessary. See: http://www.gnu.org/philosophy/no-word-attachments.html You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.