shazam
Immunoglobulin Somatic Hypermutation Analysis
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), Yaari, et al (2012), Yaari, et al (2013), Cui, et al (2016).
- Version1.2.0
- R versionunknown
- LicenseAGPL-3
- Needs compilation?No
- shazam citation info
- Last release10/02/2023
Documentation
Team
Susanna Marquez
MaintainerShow author detailsJason Vander Heiden
Show author detailsRolesAuthorNamita Gupta
Show author detailsRolesAuthorNima Nouri
Show author detailsRolesAuthorJulian Zhou
Show author detailsRolesAuthorSteven Kleinstein
Show author detailsRolesAuthor, Copyright holderMohamed Uduman
Show author detailsRolesAuthorNoah Yann Lee
Show author detailsRolesAuthorAng Cui
Show author detailsRolesContributorGur Yaari
Show author detailsRolesAuthor
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Dependencies
- Depends1 package
- Imports18 packages
- Suggests3 packages
- Reverse Imports2 packages