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

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