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)
SCOPer (Spectral Clustering for clOne Partitioning) provides a computational framework for unsupervised identification B cell clones from adaptive immune receptor repertoire sequencing (AIRR-Seq) datasets. This method performs spectral clustering of the B cell receptor (BCR) junction region within groups of BCR sequences sharing the same V gene, J gene, and junction length. Rather than a fixed threshold, SCOPe uses an adaptive threshold for clustering sequences to determine the local sequence neighborhood, which offers an improvement in both the sensitivity and specificity over a simple fixed threshold for all junction lengths. SCOPer is part of the Immcantation analysis framework.
For help and questions please contact the Immcantation Group
Initial public release.