The splice must flow
Results for the Knowles lab CAREER award
Our goal is to develop a new conceptual framework for alternative splicing analysis that 1) unifies local and isoform-level quantification, 2) accounts for uncertainty to enable powerful statistical testing, 3) enables exploratory data analysis of large-scale datasets, and 4) can jointly leverage short and/or long read RNA-seq data. Under this framework we will use network flow algorithms to connect local splicing events with isoform usage rates and read density, develop well-calibrated statistical tests, and convex dimensionality reduction techniques accounting for varying noise levels.