DESCRIPTION
a1725dd6
 Type: Package
d31ff2a7
 Package: CellaRepertorium
4688031c
 Title: Data structures, clustering and testing for single 
     cell immune receptor repertoires (scRNAseq RepSeq/AIRR-seq)
5cf49a54
 Version: 1.6.0
d31ff2a7
 Authors@R: 
     c(person(given = "Andrew",
              family = "McDavid",
              role = c('aut', 'cre'),
              email = "Andrew_McDavid@urmc.rochester.edu"),
       person(given = "Yu",
              family = "Gu",
              role = "aut",
d507c94c
              email = "Yu_Gu@urmc.rochester.edu"),
a32b7c8b
       person(given = 'Erik',
       family = 'VonKaenel',
       role = 'aut'
       ),
328e977d
       person(given = 'Aaron',
       family = 'Wagner',
       role = 'aut'),
d507c94c
       person(given = 'Thomas Lin',
              family = 'Pedersen', 
              role = 'ctb'))
d31ff2a7
 Description: Methods to cluster and analyze high-throughput
     single cell immune cell repertoires, especially from the 10X Genomics
     VDJ solution. Contains an R interface to CD-HIT (Li and Godzik 2006).   
     Methods to visualize and analyze paired heavy-light chain data.
     Tests for specific expansion, as well as omnibus oligoclonality under
     hypergeometric models.
a1725dd6
 License: GPL-3
d31ff2a7
 Depends: 
608f89fd
     R (>= 4.0)
a1725dd6
 Imports:
d31ff2a7
     dplyr,
     tibble,
     stringr,
     Biostrings,
     Rcpp,
     reshape2,
     methods,
608f89fd
     rlang (>= 0.3),
d31ff2a7
     purrr,
     Matrix,
     S4Vectors,
6c82e731
     BiocGenerics,
d31ff2a7
     tidyr,
4688031c
     forcats,
d507c94c
     progress,
     stats,
     utils
66eb4793
 Suggests: 
efd7d3a1
     testthat,
     readr,
     knitr,
     rmarkdown,
     ggplot2,
     BiocStyle,
d31ff2a7
     ggdendro,
     broom,
     lme4,
5a52904d
     RColorBrewer,
     SingleCellExperiment,
a32b7c8b
     scater,
6432de04
     broom.mixed,
befdd6f5
     cowplot,
     igraph,
     ggraph
d31ff2a7
 LinkingTo: 
     Rcpp
 VignetteBuilder: 
     knitr
 Encoding: UTF-8
a1725dd6
 NeedsCompilation: yes
dfaded11
 RoxygenNote: 7.1.2
31cd01a2
 URL: https://github.com/amcdavid/CellaRepertorium
 BugReports: https://github.com/amcdavid/CellaRepertorium/issues
be99b48a
 Roxygen: list(markdown = TRUE)
d507c94c
 biocViews: RNASeq, Transcriptomics, SingleCell, TargetedResequencing, 
     Technology, ImmunoOncology, Clustering