Analyzing shapes is a key step to understand biological functions and properties of cells and proteins. Subtle shape variations and conformations can have a significant impact on the interactions with the shape environment. In order to capture theses variations, we developed optimal transport based alignment tools and metrics, enabling to quantify shape heterogeneity and classify morphotypes. In particular I will present the numerical challenges involved in both alignment and metric computation, as well as examples of biological data classification.