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bioc
ClustIRR:Clustering of immune receptor repertoires
ClustIRR analyzes repertoires of B- and T-cell receptors. It starts by identifying communities of immune receptors with similar specificities, based on the sequences of their complementarity-determining regions (CDRs). Next, it employs a Bayesian probabilistic models to quantify differential community occupancy (DCO) between repertoires, allowing the identification of expanding or contracting communities in response to e.g. infection or cancer treatment.
Maintained by Simo Kitanovski. Last updated 9 days ago.
clusteringimmunooncologysinglecellsoftwareclassificationb-cell-receptorbioinformaticsimmunoinformaticsimmunologyquantitative-methodsrep-seqrepertoire-analysist-cell-receptorcpp
2 stars 5.95 score 2 scripts