CSAMA 2013: Computational Statistics for Genome Biology (11th edition) Bressanone-Brixen, Italy (in the middle of the alps) June 24th - June 28th, 2013 *** Registration for CSAMA 2013 is now open *** http://marray.economia.unimi.it Lecturers: ========== Martin Morgan, Fred Hutchinson Cancer Research Center (USA) Robert Gentleman, Genentech (USA) Vincent J. Carey, Channing Laboratory, Harvard Medical School (USA) Wolfgang Huber, European Molecular Biology Laboratory (DE) Simon Anders, European Molecular Biology Laboratory (DE) Mark Robinson, Institute of Molecular Life Sciences, University of Zurich (CH) Laurent Gatto, University of Cambridge (UK) About the course: ================= This one-week intensive course teaches current approaches in the statistical and computational analysis of large-scale experiments in biology. The course focus on the methods for downstream analysis of high-throughput sequencing experiments, including DNA sequencing (variant calling), RNA sequencing (differential expression), QTL analysis, epigenetics. Lectures also cover essentials including statistical testing, machine learning, visualisation and bioinformatic metadata integration. The course is intended for researchers who have a basic familiarity with the experimental technologies and the biology of the genome. The four practical sessions of the course will require simple programming in the language R; introductory and advanced language tutorials will be provided. Lectures: ========= Introduction to R and Bioconductor Elements of statistics: hypothesis testing, machine learning, visualisation Statistics for differential expression Computing with sequences and genomic intervals RNA-Seq data analysis DNA Variant calling Aspects of epigenetics Annotation of genes, genomic features and variants Gene set enrichment analysis Structure: ========== Lectures & Labs: Monday 24th to Friday 28th Welcome reception and buffet: Sunday 23rd The course consists of - morning lectures: 20 x 45 minutes: Monday to Friday 8:30 - 12:00 - 4 practical computer tutorials in the afternoons (14:00 - 17:00) on Monday, Tuesday, Thursday and Friday - 3 flashlight sessions (17:00 to 17:30) on Monday, Tuesday and Thursday - a social activity on Wednesday afternoon / evening For more information: ===================== Course web page http://marray.economia.unimi.it ----------------------------------- Stefano M. Iacus Dipartimento di Economia, Management e Metodi Quantitativi Universita' di Milano Via Conservatorio, 7 I-20123 Milano Tel: 02 50321 461 Fax: 02 50321 505 http://www.economia.unimi.it/iacus Twitter: @iacus ---------------------------------------------------------------------- -------------- Please don't send me Word or PowerPoint attachments if not absolutely necessary. See: http://www.gnu.org/philosophy/no-word-attachments.html [[alternative HTML version deleted]]