Immunoglobulin Somatic Hypermutation Analysis R package shazam version 1.3.2 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>. Software Depends: R (>= 4.0), ggplot2 (>= 3.4.0) Imports: alakazam (>= 1.4.1), ape, diptest, doParallel, dplyr (>= 1.0), foreach, graphics, grid, igraph (>= 1.5.0), iterators, KernSmooth, lazyeval, MASS, methods, parallel, progress, rlang, scales, seqinr, stats, stringi (>= 1.1.3), tidyr, tidyselect, utils Suggests: knitr, rmarkdown, testthat, tibble Susanna Marquez <susanna.marquez@yale.edu> Comprehensive R Archive Network (CRAN) Mohamed Uduman [aut], Namita Gupta [aut], Susanna Marquez [aut, cre], Julian Zhou [aut], Nima Nouri [aut], Noah Yann Lee [aut], Ang Cui [ctb], Jason Vander Heiden [aut], Gur Yaari [aut], Steven Kleinstein [aut, cph] AGPL-3 2026-05-01 application/tgz https://CRAN.R-project.org/package=shazam doi:10.32614/CRAN.package.shazam