Statistical advances in Genome-scale Data Analysis - Workshop, Ascona 2009

Scope:

Development of high throughput assay technologies has rapidly transformed the field of molecular biology.
Sequencing of the human genome and improvements in measurement technologies for DNA, RNA, and proteins have revolutionized biological research, resulting in vast amounts of diverse types of quantitative data.
Our aim is to organize an interdisciplinary workshop to address the challenges posed by the enormous need for quantitative data integration and modeling in biology.
Targeted areas for the workshop include:
emerging technologies, analysis of DNA composition data, machine learning with genome-scale biomolecular data, pharmacogenomics, and systems approaches with heterogeneous data types.
We expect that the interaction between statisticians, computer scientists and biologists will lead to further advances in the analysis of genome-scale data sets.

Date:

The workshop was held on May 3rd - 8th, 2009

Program

Slides of talks and posters

Photos and short videos

Location:  Centro Stefano Franscini     Ascona, Switzerland

Keynote Speakers:

Niko Beerenwinkel (ETH Zurich), Sven Bergmann (University of Lausanne), David Clayton (Cambridge University), Christina Kendziorski (University of Wisconsin, Madison), Edward Marcotte (University of Texas, Austin), Florian Markowetz (Cancer Research UK Cambridge Research Institute), Crispin Miller (Paterson Institute for Cancer Research, Manchester), Katie Pollard (University of California at San Francisco), John Storey (Princeton University) and Jean-Philippe Vert (Mines ParisTech & Institut Curie Paris)

Organizing Commitee:
Peter Buhlmann, Anthony Davison, Darlene Goldstein

This workshop is sponsored by the Swiss National Science Foundation, Centro Stefano Franscini, Novartis Basel, Roche Basel, Merck Serono, Syngenta Basel