The field of genetics now has access to data on the complete DNA sequence of the genome of human and other organisms, as well as other high-dimensional -omic data. Interpreting these data and exploiting them for the betterment of the human condition requires new statistical methodologies. The University of Washington, itself a leader in biostatistics, genome sciences and statistics, recently hosted a conference to discuss the impact of large-scale genomic data on statistical and quantitative genetics. Leaders in the field presented new methods and reported on the applications of those methods to large-scale genomic datasets. The conference attracted professionals and students across a broad range of areas of genetics and its applications.
Dates: 24-26 November 2013
Location: UW Tower Auditorium, 4333 Brooklyn Avenue NE, Seattle, WA.
For more information, please refer to the menu on the right.
Sponsors: University of Washington Department of Biostatistics, National Institutes of Health, JMP-Genomics, Syngenta
Funding for this conference was made possible, in part, by grant number 1 R13 HG007506-01 from the National Human Genome Research Institute (NHGRI) and National Cancer Institute (NCI). The views expressed in written conference materials or publications and by speakers and moderators do not necessarily reflect the official policies of the Department of Health and Human Services; nor does mention by trade names, commercial practices, or organizations imply endorsement by the U.S. Government.