BMC Bioinformatics · 2015 · 250 citations · 19 references
Life SciencesBioinformaticsImmunologyCellular ImmunologyImmunogeneticsMolecular ImmunologyAntigen Receptor DiversityAntigen RecognitionImmunogenomicsImmunoglobulin DiversityT Cell ActivationT Cell BiologyDiversity MeasuresImmune Repertoire ProfilingReceptorsT Cell Receptor DiversityT Cell ReceptorsT-cell Receptor Gene UsageT-cell Receptor Repertoire DiversityT-cell Repertoire Analysis
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.
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