clonevdjseq: A workflow and bioinformatics management system for sequencing, archiving, and analysis of VDJ sequences from clonal libraries
clonevdjseq offers a comprehensive and scalable solution for the processing and analysis of large monoclonal and oligoclonal VDJ datasets. Its modular design, dynamic pipeline, and robust database integration facilitate efficient data management and analysis. The platform is publicly available and aims to support the research community by providing an accessible and flexible tool for archiving and dissemination of BCR sequences from hybridomas, with applicability for other applications such as TCR sequences from single-cell T cell populations.
Authors
- Karl D. Murray (ORCID: https://orcid.org/0000-0001-8159-6843)
- Samuel S. Hunter (ORCID: https://orcid.org/0000-0002-9358-1777)
- Lutz Froenicke
- Keith G. Mitchell
- James S. Trimmer
- Matthew L. Settles (ORCID: https://orcid.org/0000-0002-3424-1086)
Institutions
- University of California, Davis (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-07-21
- DOI
- https://doi.org/10.1186/s12859-025-06107-2
- Citations
- 3
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- National Institutes of Health