Ascona Workshop 2011
Statistical Challenges and Biomedical Applications of Deep Sequencing Data
Scope
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.
Date
June 5 to 10, 2011
Location
Centro Stefano Franscini, Monte Verita, Ascona, Switzerland
Confirmed keynote speakers
- Philipp Bucher, EPF Lausanne
- Michael Brudno, University of Toronto
- Chris Greenman, Welcome Trust Sanger Institute
- Willi Gruissem, ETH Zurich
- Wolfgang Huber, EMBL Heidelberg
- John Marioni, EMBL-EBI
- Sach Mukherjee, University of Warwick
- Ben Raphael, Brown University
- Mark Robinson, Walter and Eliza Hall Institute, and Garvan Institute
- Amalio Telenti, University of Lausanne
Program
DownloadAbstracts (PDF, 1.9 MB)
Organizing committee
Niko Beerenwinkel, Darlene Goldstein, Peter Bühlmann
Sponsoring
- Swiss National Science Foundation
- Centro Stefano Franscini
- Swiss Institute of Bioinformatics
- Contact Group for Research Matters (KGF - Kontaktgruppe für Forschungsfragen)
