Persistent Homology and Applications to Protein Classification

Marcio Gameiro
Department of Applied Mathematics and Statistics, University of São Paulo at São Carlos

Persistent homology is one of the main tools used in topological data analysis (TDA). We present a brief description of persistent homology and discuss some applications to protein classification. We will also discuss deformation of point clouds using persistent homology and some of its possible applications.