Statistical and Computational Challenges in Large Scale Molecular Biology (17w5131)


(Centre national de la recherche scientifique)

(Princeton University)

Anna Goldenberg (The Hospital of Sick Children, University of Toronto)

(Massachusetts Institute of Technology and Broad Institute)

(Johns Hopkins Bloomberg School of Public Health)

(Stanford University)


The Banff International Research Station will host the "Statistical and Computational Challenges in Large Scale Molecular Biology" workshop from March 26th to March 31st, 2017.

Recent technological advances have allowed companies and public consortiums to describe increasingly large numbers of samples at the genetic level through typically thousands or millions of descriptors. These descriptors are relevant to key issues like the optimal treatment when they depict a tumor or a bacteria, or the susceptibility to a disease when they depict a person. The availability of this data therefore holds great promises in terms of health improvement and our understanding of biology, but major challenges remain to their full exploitation.

Our workshop will bring together experts in computational biology as well as other connected fields dealing with similar challenges and experimental biologists to identify roadblocks and propose innovative solutions.

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 disc
iplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineeri
ng 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).