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]]

