Vidjil
Vidjil analyzes high-throughput sequencing data of V(D)J recombinations to assemble and track B-cell and T-cell clonotypes for immune repertoire profiling and disease monitoring.
Key Features:
- V(D)J recombination analysis: Performs analysis of V(D)J recombinations from B and T lymphocytes to characterize antigen receptor sequences.
- Clonotype assembly: Aggregates sequencing reads into clonotypes based on V(D)J junction sequences using an algorithm that groups reads by their junctions.
- Clonotype dynamics visualization: Visualizes clonotype frequencies and dynamics over time to support longitudinal studies of immune responses and disease progression.
- RepSeq and FASTQ support: Accepts raw sequencing files (FASTQ) and executes Repertoire Sequencing (RepSeq) analysis workflows.
Scientific Applications:
- Immune repertoire profiling: Characterizes B-cell and T-cell repertoires from high-throughput sequencing data.
- Leukemia monitoring and clinical diagnostics: Monitors clonal expansions in leukemia and supports clinical diagnostic assessments.
- Longitudinal immune response tracking: Tracks clonotype dynamics over time to study immune responses and disease progression.
- Hematology and immunology research: Supports studies of lymphocyte diversity and adaptive immunity in research settings.
Methodology:
Workflow steps explicitly include uploading raw sequence files (FASTQ), executing Repertoire Sequencing (RepSeq) analysis software, visualizing results, and annotating clonotypes.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- JavaScript, C++, Python
- Added:
- 4/22/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Duez M, Giraud M, Herbert R, Rocher T, Salson M, Thonier F. Vidjil: A Web Platform for Analysis of High-Throughput Repertoire Sequencing. PLOS ONE. 2016;11(11):e0166126. doi:10.1371/journal.pone.0166126. PMID:27835690. PMCID:PMC5106020.
Duez M, Giraud M, Herbert R, Rocher T, Salson M, Thonier F. Correction: Vidjil: A Web Platform for Analysis of High-Throughput Repertoire Sequencing. PLOS ONE. 2017;12(2):e0172249. doi:10.1371/journal.pone.0172249. PMID:28182777. PMCID:PMC5300211.