[Statlist] Workshop on Statistical Challenges and Biomedical Applications of Deep Sequencing Data

[Darlene Goldstein]

Workshop on Statistical Challenges and Biomedical Applications of Deep  
Sequencing Data

This workshop will be held in Ascona, Switzerland, 5 - 10 June 2011.

The rapid development of new high-throughput sequencing technologies  
has opened new avenues for biological investigation on an ever-growing  
scale, and there is great interest among statisticians in the  
methodological challenges inherent in this quickly evolving domain.  
Addressing the new statistical demands is a prerequisite for sustained  
progress in biological and biomedical research predicated on these new  
high-throughput technologies.

This interdisciplinary workshop is intended to be a forum for (i) the  
dissemination of cutting-edge biotechnological and methodological  
developments and (ii) the identification of challenging data analysis  
problems. The focus is on statistical, mathematical, and computational  
aspects addressing concrete real-world biological questions and  
medical applications. Specific workshop topics include algorithms for  
the analysis of deep sequencing data, applications to infectious  
diseases and cancer, integration of heterogeneous high-throughput  
genomic data types, and advances in statistical computing for these  
problems.

Confirmed invited speakers include:
Michael Brudno (University of Toronto), Chris Greenman (Sanger  
Institute), Willi Gruissem (ETH Zurich), Sunduz Keles (University of  
Wisconsin-Madison), John Marioni (EBI), Sach Mukherjee (University of  
Warwick), Ben Raphael (Brown University), Simon Tavare (Cancer  
Research UK), Amalio Telenti (University of Lausanne), with others  
still pending.

Contributed presentations will also be welcome.

More details and pre-registration instructions are available at
http://www.cbg.ethz.ch/news/ascona2011
We strongly encourage pre-registration, in previous years places have  
filled up quickly.


-- 
Darlene Goldstein
École Polytechnique Fédérale de Lausanne (EPFL)
Institut de mathématiques
Bâtiment MA, Station 8        Tel: +41 21 693 0528
CH-1015 Lausanne              Fax: +41 21 693 4303
SWITZERLAND