shazam

Provides a computational framework for analyzing mutations in immunoglobulin (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven selection pressure, mutational load quantification, building of somatic hypermutation (SHM) models, and model-dependent distance calculations. Also includes empirically derived models of SHM for both mice and humans. Citations: Gupta and Vander Heiden, et al (2015) doi:10.1093/bioinformatics/btv359, Yaari, et al (2012) doi:10.1093/nar/gks457, Yaari, et al (2013) doi:10.3389/fimmu.2013.00358, Cui, et al (2016) doi:10.4049/jimmunol.1502263.