Advanced Data Analysis of Immune Receptor Repertoires

Platform for the advanced analysis of T cell receptor and Immunoglobulin repertoires data and visualisation of the analysis results.

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tcR is a platform designed for TCR and Ig repertoire data analysis in R after preprocessing data with software tools for CDR3 extraction and gene segments aligning (MiTCR, MiXCR, MiGEC, ImmunoSEQ, IMSEQ, etc.). With the power and flexibility of R language and procedures supported by tcR users can perform advanced statistical analysis of TCR and Ig repertoires. The package was published in BMC Bioinformatics, please cite if you use it:

Nazarov et al., tcR: an R package for T cell receptor repertoire advanced data analysis

See tcR website for more information, manual and examples:

If you have any questions, suggestions or bug reports, feel free to raise an issue here:

The project was developed mainly in the Laboratory of Comparative and Functional Genomics.

Warning! tcR internally expects columns with nucleotide and amino acid CDR3 sequences and columns with gene segments to have character class, not factor class. Use stringsAsFactors=FALSE parameter if you use R functions for parsing files with tables (.csv, .xls and others).

Note for installation on Macs with OSX Yosemite (and potentially other versions): if you receive a compilation error, modify tcR/src/Makvars to:




Reference manual

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install.packages("tcR") by Vadim Nazarov, 2 years ago

Report a bug at

Browse source code at

Authors: Vadim Nazarov

Documentation:   PDF Manual  

Apache License 2.0 license

Imports utils, Rcpp, grid, data.table, gtable, stringdist, scales

Depends on ggplot2, dplyr, gridExtra, reshape2, igraph

Suggests knitr, roxygen2

Linking to Rcpp

Imported by NOAAWeather.

See at CRAN