CSAMA 2014: Computational Statistics for Genome Biology (12th edition) Bressanone-Brixen, Italy (South Tyrol Alps - half way between Verona and Munich) June 23-27, 2014 *** Registration for CSAMA 2014 is now open *** http://www-huber.embl.de/csama This one-week intensive course teaches current approaches in the statistical and computational analysis of large-scale experiments in biology. The course focuses on the methods for downstream analysis of high-throughput sequencing experiments including RNA sequencing (differential expression) and DNA sequencing (variant calling), as well as QTL analysis and high-throughput screening. Lectures also cover essentials including statistical testing, linear models, machine learning, visualisation and bioinformatic metadata integration. Topics • Introduction to R and Bioconductor • Elements of statistics: hypothesis testing, multiple testing, regression, regularisation, clustering and classification (machine learning), visualisation • Computing with sequences and genomic intervals • RNA-Seq data analysis and differential expression • DNA Variant calling • Working with annotation -- genes, genomic features and variants • Gene set enrichment analysis • High-throughput screens The course consists of • morning lectures: 20 x 45 minutes: Monday to Friday 8:30am - 12:00am • 4 practical computer tutorials in the afternoons (2pm - 5pm) on Monday, Tuesday, Thursday and Friday ----------------------------------- Stefano M. Iacus 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 Have a look at the new Master Degree in Finance ! http://www.fin.unimi.it ------------------------------------------------------------------------------------ Please don't send me Word or PowerPoint attachments if not absolutely necessary. See: http://www.gnu.org/philosophy/no-word-attachments.html