CSAMA 2014: Computational Statistics for Genome Biology (11th 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