ClonoCalc
ClonoCalc processes next-generation sequencing (NGS) data to determine T cell receptor (TCR) and B cell receptor (BCR) clonotypes and produce repertoire-level analyses.
Key Features:
- Integrated analysis pipeline: Complete pipeline for TCR and BCR clonotype determination from raw NGS data in human and animal samples.
- Demultiplexing and preprocessing: Demultiplexer for barcode splitting and preprocessing of raw sequencing reads.
- MiXCR-based sequence extraction: Uses MiXCR to merge paired-end reads and extract TCR and BCR sequences.
- ClonoPlot visualization: Wraps the R package tcR and provides custom plots for descriptive and comparative repertoire analyses, including diversity and distribution metrics.
- Implementation and modularity: Implemented in Java and R with a modular architecture separating preprocessing, sequence extraction, and visualization components.
Scientific Applications:
- Immune repertoire profiling: Analysis of TCR and BCR diversity and clonotype distributions to study immune status in health and disease.
- Immunology research: Comparative investigations of adaptive immune responses using repertoire metrics.
- Veterinary science: Application to human and animal samples for cross-species repertoire analyses.
- Translational medicine and vaccine development: Use of repertoire dynamics to inform vaccine responses and translational studies.
- Autoimmunity studies: Characterization of repertoire changes related to autoimmune conditions.
Methodology:
Demultiplexing via a barcode-splitting demultiplexer, MiXCR for merging paired-end reads and extracting TCR/BCR sequences, and ClonoPlot wrapping the R package tcR for visualization; implemented in Java and R.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R, Java
- Added:
- 8/3/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Fähnrich A, Krebbel M, Decker N, Leucker M, Lange FD, Kalies K, Möller S. ClonoCalc and ClonoPlot: immune repertoire analysis from raw files to publication figures with graphical user interface. BMC Bioinformatics. 2017;18(1). doi:10.1186/s12859-017-1575-2. PMID:28284194. PMCID:PMC5346239.
PMID: 28284194
PMCID: PMC5346239
Funding: - Deutsche Forschungsgemeinschaft: Excellence Cluster Inflammation at Interfaces EXC306, SFB 564
- Horizon 2020: 633589
- European Cooperation in Science and Technology (BE): IC1406