Large-Scale Paired BCR Analysis Reveals Clonal Inference Bias
Researchers published March 11, 2026 in PLoS Computational Biology analyze large-scale paired heavy–light B cell receptor (BCR) sequencing and show heavy-chain-only clustering misrepresents clonal architecture, revealing two artifacts: chain-mixed clusters and naive-like pseudo-clonal clusters. They introduce fastBCR-p, a machine-learning-informed framework integrating light-chain subclustering and public-sequence-aware refinement, which improves chain concordance and clonal-family inference for tracking immune dynamics and identifying antibody lineages.
Scoring Rationale
Strong empirical and methodological advance validated on large paired datasets; scope limited to BCR sequencing and community adoption.
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