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

Documentation