B-cell and T-cell Adaptive Immune Receptor Repertoire (AIRR) sequencing analysis pipeline using the Immcantation framework
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Nov 13, 2026 - Nextflow
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b-cell
Here are 12 public repositories matching this topic...
Substitution Profiles Using Related Families
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Aug 2, 2018 - Python
Machine learning for Immune Repertoires
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Nov 6, 2026 - Python
A Bayesian Phylo-HMM for B cell receptor sequence analysis
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Dec 4, 2025 - C++
Relationships between B-cell clones from paired single-cell RNA and BCR sequencing: clone embeddings, clonal coherence, clonal programmes and clone-level tests
bioinformatics scrna-seq immunology single-cell bcr b-cell scanpy anndata clonotype repertoire-analysis germinal-center vdj-seq clone-embedding
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Oct 30, 2026 - Python
Prediction of Conformational B-cell epitopes in an antigen for human host
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May 8, 2026 - Python
CaliPPer: Quantifying, predicting and improving AI model performance for binding prediction
machine-learning bioinformatics deep-learning reliability artificial-intelligence calibration bayesian t-cell mhc tcr density-ratio-estimation antibiotics immunoinformatics performance-estimation epitope-prediction bcr b-cell antibiotic small-molecule
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Nov 3, 2026 - Python
LBtope: Improved Method for Linear B-Cell Epitope Prediction
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May 9, 2026
Transcriptome Embedding-resolved V(D)J Repertoire Analysis: an R package for mapping BCR/TCR (V(D)J) immune repertoire features onto single-cell RNA-seq neighbourhoods
bioinformatics rstats immunology t-cell t-cell-receptor tcr single-cell bioinformatics-tool bcr b-cell sc-rna-seq immune-system immune-repertoire b-cell-receptor vdj airr vdj-seq
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Nov 14, 2026 - R
B-Cell Lymphomas Mutational Signatures
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Nov 26, 2022 - Jupyter Notebook
Code and scripts used for Worth et al. 2022: "Receptor editing constrains development of phosphatidyl choline-specific B cells in VH12-transgenic mice".
r ngs immunology rep-seq ngs-analysis vdj-recombination ngs-pipeline b-cell immcantation transgene b-cell-receptor mus-musculus
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May 24, 2022 - R
A machine-learning workflow for B-cell epitope classification using sequence-derived physicochemical features and five ML classifiers. It integrates protein-grouped evaluation, statistical testing, external SARS validation, and ensemble-based prioritization of potential COVID-19 peptide candidates.
python machine-learning exploratory-data-analysis eda prediction vaccine epitopes-prediction b-cell epitopes
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Nov 10, 2026 - Python
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