Provides a computational framework for Bayesian estimation of
antigen-driven selection in immunoglobulin (Ig) sequences, providing an
intuitive means of analyzing selection by quantifying the degree of
selective pressure. Also provides tools to profile mutations in Ig
sequences, build models of somatic hypermutation (SHM) in Ig sequences,
and make model-dependent distance comparisons of Ig repertoires.
Gupta and Vander Heiden, et al (2015)
|Author||Mohamed Uduman [aut], Gur Yaari [aut], Namita Gupta [aut], Jason Vander Heiden [aut, cre], Ang Cui [ctb], Susanna Marquez [ctb], Julian Zhou [ctb], Nima Nouri [ctb], Steven Kleinstein [aut, cph]|
|Date of publication||2018-03-31 22:32:38 UTC|
|Maintainer||Jason Vander Heiden <[email protected]>|
|License||CC BY-SA 4.0|
|Package repository||View on CRAN|
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