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.

Links