tcR: an R package for T cell receptor repertoire advanced data analysis
Vadim I. Nazarov,Mikhail V. Pogorelyy,Ekaterina A. Komech,Ivan V. Zvyagin,Dmitry A. Bolotin,Mikhail Shugay,Dmitry M. Chudakov,Yury B. Lebedev,Ilgar Z. Mamedov +8 more
TL;DR: stcR is a new R package, representing a platform for the advanced analysis of T cell receptor repertoires after primary TR sequences extraction from raw sequencing reads, which includes diversity measures, shared T cell receptors sequences identification, gene usage statistics computation and other widely used methods.
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Abstract: 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. 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. 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.
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