Novel Statistical Approaches for Studying Multi-omics Data (25w5324)

The Banff International Research Station will host the “Novel Statistical Approaches For Studying Multi-omics Data” workshop in Banff from July 13 to 18, 2025.

Most complex human diseases, such as Alzheimer’s Disease, Autism Spectrum Disorder, and Type 2 Diabetes, originate in part from the complicated interplay among polygenic variants and their interactions with non-genetic factors. For instance, the human microbiome (non-genetic factor), diet, and physical activity are known to play key roles in shaping disease risk and response to treatments. Given the enormous impact of such complex diseases on public health, it is imperative to understand the underlying genomic etiology, microbiome-host interactions, and genetic-environmental interactions to improve screening techniques and develop targeted treatments. To this end, the development and application of powerful statistical methods that fully utilize existing resources of multi-level genomics data is essential. This workshop will focus on applicable statistical methods to address emerging challenges in the integrative analysis of multiple omics data. Topics covered include the integrative analyses of biobank genomic data with diverse ancestries, single-cell multi-omic sequence data, spatial transcriptomic and digital pathology data, as well as microbiomic and metabolomic data. This workshop will bring together senior and junior experts around the world (from Europe, Australia, Asia, and North America) to advance practical and effective statistical methods that can address important issues arising in the analysis of large-scale multi-omics 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), and Alberta’s Advanced Education and Technology.