Statistical Data Integration Challenges in Computational Biology: Regulatory Networks and Personalized Medicine (13w5083)
Organizers
Jennifer Bryan (University of British Columbia)
Aurelie Labbe (McGill University)
Stephen Montgomery (Stanford University)
Adam Olshen (University of California, San Francisco)
Ronglai Shen (Memorial Sloan-Kettering Cancer Center)
Paul Spellman (Oregon Health & Science University )
Description
The Banff International Research Station will host the "Statistical Data Integration Challenges in Computational Biology: Regulatory Networks and Personalized Medicine" workshop from August 11th to August 16th, 2013.
In recent years, several large-scale international genomics projects
have been launched. They include The Cancer Genome Atlas (TCGA)
consortium, the ENcyclopedia Of DNA Elements (ENCODE) and modENCODE
(model organism) projects, and the 1000 Human Genomes project. Through
these initiatives, massive amounts of clinical and genome-scale data
have been made available to the research community. Integrated
analysis of these rich data resources remains very difficult. The
obstacles range from the technical (differences in the nomenclature
used to uniquely identify a gene) to the conceptual (the scarcity of
statistical methods that can reliably and efficiently accommodate
highly disparate data types).
In this workshop we will address topics in data integration,
particularly relating to regulatory networks and personalized
medicine. We will take a collaborative approach to ensure that
resulting analytical tools are conceptually sound and produce results
that are biologically interesting and experimentally verifiable. The
workshop is designed to foster deeper connections between ``wet-lab''
and ``dry-lab'' researchers and to be a forum for (1) the
dissemination of cutting-edge developments, including new
high-throughput biological assays and novel statistical methodologies,
and (2) the identification of open problems in the analysis of these
diverse data.
The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).
