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

Authors :
Nazarov, Vadim I.
Pogorelyy, Mikhail V.
Komech, Ekaterina A.
Zvyagin, Ivan V.
Bolotin, Dmitry A.
Shugay, Mikhail
Chudakov, Dmitry M.
Lebedev, Yury B.
Mamedov, Ilgar Z.
Source :
BMC Bioinformatics; 2015, Vol. 16 Issue 1, p1-5, 5p, 1 Chart, 1 Graph
Publication Year :
2015

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712105
Volume :
16
Issue :
1
Database :
Complementary Index
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
103736117
Full Text :
https://doi.org/10.1186/s12859-015-0613-1