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      /\ \         /\ \ /\ \     /\_\      / /\
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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-shazam 1.2.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringi@1.8.4 r-seqinr@4.2-36 r-scales@1.3.0 r-rlang@1.1.4 r-progress@1.2.3 r-mass@7.3-61 r-lazyeval@0.2.2 r-kernsmooth@2.23-24 r-iterators@1.0.14 r-igraph@2.1.1 r-ggplot2@3.5.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-diptest@0.77-1 r-ape@5.8 r-alakazam@1.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://shazam.readthedocs.io
Licenses: AGPL 3
Synopsis: Immunoglobulin Somatic Hypermutation Analysis
Description:

This package 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>.

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