Moose is a motif-discovery and statistical framework for adaptive immune receptor repertoires. It identifies enriched sequence motifs, quantifies their statistical significance, and supports cluster- or condition-specific motif enrichment analysis.
Key Features
- Identification of enriched motifs in TCR/BCR repertoires
- Statistical testing across clusters, samples, or disease states