Package: scoper
Type: Package
Version: 0.2.0
Date: 2019-08-05
Authors@R: c(person("Nima", "Nouri", role=c("aut", "cre"), 
                    email="nima.nouri@yale.edu"),
             person("Jason", "Vander Heiden", role=c("ctb"), 
                    email="jason.vanderheiden@yale.edu"), 
             person("Steven", "Kleinstein", role=c("aut", "cph"), 
                    email="steven.kleinstein@yale.edu"))
Title: Spectral Clustering-Based Method for Identifying B Cell Clones
Description: Provides a computational framework for B cell clones identification 
             from adaptive immune receptor repertoire sequencing (AIRR-Seq) datasets. 
             Three models are included (identical, hierarchical, and spectral) 
             that perform clustering among sequences of BCRs/IGs (B cell receptors/immunoglobulins) 
             which share the same V gene, J gene and junction length.
             Nouri N and Kleinstein SH (2018) <doi: 10.1093/bioinformatics/bty235>.
             Gupta NT, et al. (2017) <doi: 10.4049/jimmunol.1601850>.
License: CC BY-SA 4.0
URL: https://scoper.readthedocs.io
BugReports: https://bitbucket.org/kleinstein/scoper/issues
LazyData: true
BuildVignettes: true
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++11
Depends: R (>= 3.1.2), ggplot2 (>= 3.2.0)
Imports: alakazam (>= 0.3.0), shazam (>= 0.2.0), doParallel, foreach,
        dplyr (>= 0.8.1), Rcpp (>= 0.12.12), seqinr, data.table,
        stringi, stringr, methods, stats, rlang
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat
RoxygenNote: 6.1.1
Collate: 'Data.R' 'Scoper.R' 'Functions.R' 'RcppExports.R'
NeedsCompilation: yes
Packaged: 2019-08-05 17:52:55 UTC; nima
Author: Nima Nouri [aut, cre],
  Jason Vander Heiden [ctb],
  Steven Kleinstein [aut, cph]
Maintainer: Nima Nouri <nima.nouri@yale.edu>
Repository: CRAN
Date/Publication: 2019-08-05 21:50:02 UTC
