ViCloD
ViCloD analyzes Adaptive Immune Receptor Repertoire (AIRR-seq) B cell receptor (BCR) data to visualize clonal lineages and quantify intraclonal diversity for studies of somatic hypermutation and affinity maturation.
Key Features:
- Clonal grouping: Groups AIRR-seq BCR sequences into clonal lineages.
- Intraclonal diversity visualization: Provides visual representations of clonal lineages to inspect intraclonal diversity.
- Evolutionary tree reconstruction: Reconstructs evolutionary trees of clonal lineages to infer antigen-driven antibody evolution.
- Somatic hypermutation analysis: Examines somatic hypermutations in immunoglobulin (IG) genes to study affinity maturation.
- High-throughput processing: Processes large AIRR-seq datasets, scaling to hundreds of thousands of sequences.
Scientific Applications:
- Antibody maturation studies: Facilitates analysis of somatic hypermutation and affinity maturation in B cell repertoires.
- Broadly neutralizing antibody discovery: Aids elucidation of the generation of high-affinity or broadly neutralizing antibodies.
- Vaccine response analysis: Enables study of B cell clonal dynamics following vaccination.
- Pathogen exposure and humoral immunity: Assesses effects of pathogen exposure on humoral immune repertoires.
- B cell malignancy clonal architecture: Characterizes the clonal architecture of B cell tumors.
Methodology:
Performs clonal grouping, reconstructs evolutionary trees, and analyzes somatic hypermutations in immunoglobulin (IG) genes on AIRR-seq BCR datasets and is optimized for processing hundreds of thousands of sequences.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, Bash, PHP
- Added:
- 2/21/2024
- Last Updated:
- 2/21/2024
Operations
Publications
Jeusset L, Abdollahi N, Verny T, Armand M, De Septenville AL, Davi F, Bernardes JS. ViCloD, an interactive web tool for visualizing B cell repertoires and analyzing intraclonal diversities: application to human B-cell tumors. NAR Genomics and Bioinformatics. 2023;5(2). doi:10.1093/nargab/lqad064. PMID:37388820. PMCID:PMC10304752.