Making big data small and small data big: the story of genomic dimensionality

Activity: Academic talk or presentation typesInvited talk

Description

Over the past decade, animal evaluation databases have amassed abundant genomic data, boasting millions of genotyped individuals and markers ranging from thousands to millions. However, the sheer scale of these datasets renders traditional quantitative genetic models ineffective, overwhelmed by their cubic computational complexity. We present the preva- lent statistical models utilised in such contexts to springboard potential collaborations between statisticians and animal geneticists. We then explore computational techniques to enhance efficiency, emphasising leveraging the limited dimensionality of genomic data. Additionally, we touch the flip side of the coin: the numerous small databases requiring specialised handling for meaningful inference.
Period26 Mar 2024
Event titleCfS Research Afternoon: Statistical challenges in large-scale genetic studies
Event typeWorkshop