bbeaR
bbeaR facilitates epitope-specific antibody profiling from Bead-Based Epitope Assay (BBEA) data to analyze immunoglobulin repertoires (IgE, IgG, IgA, IgD) in studies of inflammatory disorders such as allergies.
Key Features:
- Multiplex Immunoassay Integration: Tailored for the Bead-Based Epitope Assay (BBEA) to quantify IgE, IgG, IgA, and IgD specific to distinct epitopes.
- Data Processing Capabilities: Imports, processes, and normalizes .csv files exported from the Luminex reader for downstream analysis.
- Quality Control Evaluation: Evaluates quality-control metrics to assess reliability and accuracy of assay results.
- Differential Epitope-Binding Analysis: Supports linear modeling to identify differential epitope-binding antibodies across conditions or populations.
- Visualization Tools: Generates visualizations to present analysis results and facilitate interpretation.
- Epitope Mapping: Maps epitope amino-acid sequences onto corresponding primary protein structures.
Scientific Applications:
- Allergy research: Enables detailed profiling of epitope-specific antibodies to investigate mechanisms underlying allergic disease.
- Inflammatory disorder studies: Profiles epitope-specific immunoglobulin repertoires in research on inflammatory disorders.
- Comparative isotype analysis: Facilitates analysis of differential binding patterns across immunoglobulin isotypes.
Methodology:
Integrates BBEA data by importing, processing, and normalizing Luminex .csv output, evaluating quality-control metrics, applying linear modeling and other statistical and visualization techniques within the R environment, and mapping epitope amino-acid sequences onto primary protein structures.
Topics
Details
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 3/19/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Suprun M, Ellis RJ, Sampson HA, Suárez-Fariñas M. bbeaR: an R package and framework for epitope-specific antibody profiling. Bioinformatics. 2021;37(1):131-133. doi:10.1093/bioinformatics/btaa1064. PMID:33471075. PMCID:PMC8034521.