scoper: Spectral Clustering-Based Method for Identifying B Cell Clones

Provides a computational framework for unsupervised identification B cell clones from adaptive immune receptor repertoire sequencing (AIRR-Seq) datasets. This method is based on spectral clustering of the junction sequences of B cell receptors (BCRs, also referred to as Immunoglobulins, (Igs)) that share the same V gene, J gene and junction length.

Version: 0.1.0
Depends: R (≥ 3.1.2), ggplot2 (≥ 2.0.0)
Imports: alakazam (≥ 0.2.11), shazam (≥ 0.1.10), doParallel, foreach, dplyr (≥ 0.7.0), stringi, methods, stats, iterators, lazyeval
Suggests: knitr, rmarkdown, testthat
Published: 2018-10-14
Author: Nima Nouri [aut, cre], Jason Vander Heiden [ctb], Steven Kleinstein [aut, cph]
Maintainer: Nima Nouri <nima.nouri at yale.edu>
BugReports: https://bitbucket.org/kleinstein/scoper/issues
License: CC BY-SA 4.0
URL: https://scoper.readthedocs.io
NeedsCompilation: no
Materials: README NEWS
CRAN checks: scoper results

Downloads:

Reference manual: scoper.pdf
Vignettes: %\VignetteEngine{knitr::rmarkdown}Identifying clones from high-throughput B cell repertoire sequencing data
Package source: scoper_0.1.0.tar.gz
Windows binaries: r-devel: scoper_0.1.0.zip, r-release: scoper_0.1.0.zip, r-oldrel: scoper_0.1.0.zip
OS X binaries: r-release: scoper_0.1.0.tgz, r-oldrel: scoper_0.1.0.tgz

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