Informace o publikaci

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

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NAZAROV Vadim I. POGORELYY Mikhail V. KOMECH Ekaterina A. ZVYAGIN Ivan V. BOLOTIN Dmitry SHUGAY Mikhail CHUDAKOV Dmitriy LEBEDEV Yury B. MAMEDOV Ilgar Z.

Rok publikování 2015
Druh Článek v odborném periodiku
Časopis / Zdroj BMC Bioinformatics
Fakulta / Pracoviště MU

Středoevropský technologický institut

Citace
www http://download.springer.com/static/pdf/403/art%253A10.1186%252Fs12859-015-0613-1.pdf?originUrl=http%3A%2F%2Fbmcbioinformatics.biomedcentral.com%2Farticle%2F10.1186%2Fs12859-015-0613-1&token2=exp=1452494593~acl=%2Fstatic%2Fpdf%2F403%2Fart%25253A10.1186%2
Doi http://dx.doi.org/10.1186/s12859-015-0613-1
Obor Biochemie
Klíčová slova Adaptive immunity; T cell receptor; TR repertoire analysis; TR diversity
Popis 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 webcite). The source code and development version are available at tcR GitHub (http://imminfo.github.io/tcr/ webcite) along with the full documentation and typical usage examples.

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