SCOPer 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.


For help and questions please contact the Immcantation Group


Depends: ggplot2
Imports: alakazam, shazam, data.table, doParallel, dplyr, foreach, methods, Rcpp, rlang, scales, stats, stringi, tidyr
Suggests: knitr, rmarkdown, testthat


Nima Nouri (aut)
Edel Aron (ctb)
Gisela Gabernet (ctb)
Susanna Marquez (ctb, cre)
Jason Vander Heiden (aut)
Steven Kleinstein (aut, cph)


To cite the scoper package or spectral clustering-based model in publications, please use:

Nouri N, Kleinstein S (2018). “A spectral clustering-based method for identifying clones from high-throughput B cell repertoire sequencing data.” Bioinformatics, i341-i349. doi:10.1093/bioinformatics/bty235

Nouri N, Kleinstein S (2020). “Somatic hypermutation analysis for improved identification of B cell clonal families from next-generation sequencing data.” PLOS Computational Biology, 16(6), e1007977. doi:10.1371/journal.pcbi.1007977

To cite the hierarchical clustering-based model in publications, please use:

Gupta N, Adams K, Briggs A, Timberlake S, Vigneault F, Kleinstein S (2017). “Hierarchical clustering can identify B cell clones with high confidence in Ig repertoire sequencing data.” The Journal of Immunology, 2489-2499. doi:10.4049/jimmunol.1601850