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Updated: Jan 17, 2026

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
Published on: January 12, 2021
The Adaptive Immune Receptor Repertoire Knowledge Commons: An invitation to the community
Lindsay G Cowell1, Scott Christley2, Felix Breden3
1Department of Health Data Sciences and Biostatistics, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA; Department of Immunology, School of Biomedical Sciences, UT Southwestern Medical Center, Dallas, TX, USA.
We are building the AIR Repertoire Knowledge Commons (AKC) to merge siloed adaptive immune receptor (AIR) data. This will enable integrated analysis of AIR repertoires, genes, and antigens.
Area of Science:
- Immunology
- Bioinformatics
- Genomics
Background:
- Adaptive immune receptor (AIR) repertoires, genomic loci, and antigen data are currently fragmented across multiple repositories.
- This data siloing hinders comprehensive and integrated analyses of immune system responses.
Purpose of the Study:
- To establish the AIR Repertoire Knowledge Commons (AKC) for centralizing and integrating diverse AIR-related datasets.
- To overcome limitations in current data accessibility and facilitate advanced research in adaptive immunity.
Main Methods:
- Merging data from various community-backed repositories containing sequencing data.
- Applying knowledge-generation algorithms for data integration and metadata enrichment.
Main Results:
- Development of a unified knowledge commons for AIR repertoire data.
- Improved data integration and enrichment enabling more comprehensive analyses.
Conclusions:
- The AKC initiative addresses the critical need for integrated AIR data access.
- This platform will significantly advance research into adaptive immune receptor repertoires and their functions.
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