v1.2.0: Integrating light-chain refinements into heavy-chain clustering to optimize clonal family inference and supporting public antibody prediction and filtering.

fastBCR-p is a novel computational pipeline that incorporates public antibody filtering and strategic light-chain segregation, significantly improving both the accuracy and throughput of large-scale paired BCR clustering.
Existing heavy chain clone family inference methods all suffer from the issue of confounded light chain features. To address this, based on the heavy chain clustering results from fastBCR, fastBCR-p split sequences within heavy chain clusters that have different light chain VJ genes.