Spectral Clustering-Based Method for Identifying B Cell Clones

Provides a computational framework for identification of B cell clones from Adaptive Immune Receptor Repertoire sequencing (AIRR-Seq) data. Three main functions are included (identicalClones, hierarchicalClones, and spectralClones) 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) . Nouri N and Kleinstein SH (2019) . Gupta NT, et al. (2017) .


SCOPer

SCOPer (Spectral Clustering for clOne Partitioning) provides a computational framework for the identification of B cell clonal relationships from Adaptive Immune Receptor Repertoire sequencing (AIRR-Seq) data. It includes methods for assigning clonal identifiers using sequence identity, hierarchical clustering, and spectral clustering. SCOPer is part of the Immcantation analysis framework.

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Reference manual

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install.packages("scoper")

1.6.0 by Susanna Marquez, 8 hours ago


https://scoper.readthedocs.io


Report a bug at https://github.com/immcantation/scoper/issues


Browse source code at https://github.com/cran/scoper


Authors: Nima Nouri [aut] , Edel Aron [ctb] , Robert Bjornson [ctb] , Gisela Gabernet [ctb] , Cole Jensen [ctb] , Huimin Lyu [ctb] , Susanna Marquez [ctb, cre] , Jason Vander Heiden [aut] , Steven Kleinstein [aut, cph]


Documentation:   PDF Manual  


AGPL-3 license


Imports alakazam, shazam, data.table, doParallel, dplyr, fastcluster, foreach, methods, Rcpp, rlang, scales, stats, stringi, tidyr

Depends on ggplot2

Suggests knitr, rmarkdown, testthat

Linking to Rcpp


See at CRAN