ArticleCell reports methods2023
Fast clonal family inference from large-scale B cell repertoire sequencing data.
Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Large-scale paired chain BCR analysis reveals antibody clonal family inference bias and enhances resolution with machine learning.PLoS computational biology · 2026Article
- deepNGS navigator: exploring antibody NGS datasets using deep contrastive learning.Bioinformatics (Oxford, England) · 2025Article
- Hematopoietic Stem Cell Fates and the Cellular Hierarchy of Mammalian Hematopoiesis: from Transplantation Models to New Insights from in Situ Analyses.Stem cell reviews and reports · 2025Review
- Protocol for fast clonal family inference and analysis from large-scale B cell receptor repertoire sequencing data.STAR protocols · 2024Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in high-throughput sequencing technologies have facilitated the large-scale characterization of B cell receptor (BCR) repertoires. However, the vast amount and high diversity of the BCR sequences pose challenges for efficient and biologically meaningful analysis. Here, we introduce fastBCR, an efficient computational approach for inferring B cell clonal families from massive BCR heavy chain sequences. We demonstrate that fastBCR substantially reduces the running time while ensuring high accuracy on simulated datasets with diverse numbers of B cell lineages and varying mutation rates. We apply fastBCR to real BCR sequencing data from peripheral blood samples of COVID-19 patients, showing that the inferred clonal families display disease-associated features, as well as corresponding antigen-binding specificity and affinity. Overall, our results demonstrate the advantages of fastBCR for analyzing BCR repertoire data, which will facilitate the identification of disease-associated antibodies and improve our understanding of the B cell immune response.
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Registered trials
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