Gradient Biotech

Repertoire diversity

Use this workflow to study TCR/BCR clonotypes, expansion, diversity, sequence features, and clone-state relationships. It supports both bulk repertoire review and single-cell VDJ analysis where barcode-level clone assignments need to be connected to immune phenotype, tissue, timepoint, or disease context.

Research question

Which clones are expanded, shared, phenotype-linked, or ambiguous, and how do repertoire diversity and CDR3 sequence features vary across samples, tissues, timepoints, or disease groups?

Use case

Use this when the biological question depends on clonal expansion, public/private clones, V/J usage, sequence properties, or single-cell clone occupancy. The workflow is especially useful for vaccine, infection, autoimmunity, cell therapy, and immuno-oncology studies where receptor expansion must be interpreted alongside immune cell state.

Suggested path

  1. Register a vdj dataset.
  2. Run repertoire_analysis.
  3. Review diversity, expansion, V/J usage, V/J pairing, CDR3 summaries, k-mers, entropy, sample distances, clone occupancy, clonal bias, barcode clone maps, and overlap.
  4. Use disease workflows or interpretation to contextualize clone-state patterns.

Outputs to cite

  • Shannon entropy
  • inverse Simpson index
  • clonal evenness
  • top clonotypes
  • shared clonotype fractions
  • CDR3 length and amino-acid property summaries
  • positional entropy and k-mer usage
  • V/J pairing frequencies
  • sample distance embedding
  • barcode-to-clone map
  • clone occupancy and clonal bias
  • clone-flow and clone-state network edges
  • VDJ ambiguity flags