[BioC] CSAMA 2014: Computational Statistics for Genome Biology - June 22-27, 2014

[Wolfgang Huber]

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