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VDJtools: Unifying Post-analysis of T Cell Receptor Repertoires

PLoS Computational Biology · 2015 · Vol. 11(11) · pp. e1004503–e1004503
Mikhail ShugayDmitriy V. BagaevMaria A. TurchaninovaDmitriy A. BolotinOlga V. BritanovaEkaterina V. PutintsevaMikhail V. PogorelyyVadim I. NazarovIvan V. ZvyaginVitalina KirgizovaК. И. КиргизовЕ. В. СкоробогатоваDmitriy M. Chudakov

Abstract

Despite the growing number of immune repertoire sequencing studies, the field still lacks software for analysis and comprehension of this high-dimensional data. Here we report VDJtools, a complementary software suite that solves a wide range of T cell receptor (TCR) repertoires post-analysis tasks, provides a detailed tabular output and publication-ready graphics, and is built on top of a flexible API. Using TCR datasets for a large cohort of unrelated healthy donors, twins, and multiple sclerosis patients we demonstrate that VDJtools greatly facilitates the analysis and leads to sound biological conclusions. VDJtools software and documentation are available at https://github.com/mikessh/vdjtools.

Immune Cell Function and InteractionT-cell and B-cell ImmunologySingle-cell and spatial transcriptomicsT-cell receptorRepertoireSoftwareComputer scienceDocumentationComputational biologyGraphicsSuiteBioinformaticsBiology

MeSH terms

AdolescentAdultChildHumansMultiple SclerosisReceptors, Antigen, T-CellSoftwareTwinsCluster AnalysisSequence Analysis, DNAHematopoietic Stem Cell TransplantationComputational BiologyYoung Adult

Funding

  • Russian Foundation for Basic Research
  • Russian Science Foundation
Citations
641
FWCI
11.62
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References
66
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99%
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References
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New Phytologist · 1912 · 4,384 citations
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