tcR: an R package for T cell receptor repertoire advanced data analysis

Vadim I. Nazarov(National Research University Higher School of Economics), Mikhail V. Pogorelyy(Institute of Bioorganic Chemistry), Ekaterina A. Komech(Institute of Bioorganic Chemistry), Ivan V. Zvyagin(Central European Institute of Technology), Dmitriy A. Bolotin(Institute of Bioorganic Chemistry), Mikhail Shugay(Institute of Bioorganic Chemistry), Dmitriy M. Chudakov(Central European Institute of Technology), Yuri B. Lebedev(Institute of Bioorganic Chemistry), Ilgar Z. Mamedov(Institute of Bioorganic Chemistry)
BMC Bioinformatics
May 28, 2015
Cited by 249Open Access
Full Text

Abstract

BACKGROUND: The Immunoglobulins (IG) and the T cell receptors (TR) play the key role in antigen recognition during the adaptive immune response. Recent progress in next-generation sequencing technologies has provided an opportunity for the deep T cell receptor repertoire profiling. However, a specialised software is required for the rational analysis of massive data generated by next-generation sequencing. RESULTS: Here we introduce tcR, a new R package, representing a platform for the advanced analysis of T cell receptor repertoires, which includes diversity measures, shared T cell receptor sequences identification, gene usage statistics computation and other widely used methods. The tool has proven its utility in recent research studies. CONCLUSIONS: tcR is an R package for the advanced analysis of T cell receptor repertoires after primary TR sequences extraction from raw sequencing reads. The stable version can be directly installed from The Comprehensive R Archive Network ( http://cran.r-project.org/mirrors.html ). The source code and development version are available at tcR GitHub ( http://imminfo.github.io/tcr/ ) along with the full documentation and typical usage examples.


Related Papers

No related papers found

Powered by citation graph analysis