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

VI. Nazarov, MV. Pogorelyy, EA. Komech, IV. Zvyagin, DA. Bolotin, M. Shugay, DM. Chudakov, YB. Lebedev, IZ. Mamedov,

. 2015 ; 16 (-) : 175. [pub] 20150528

Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc15031340

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.

Citace poskytuje Crossref.org

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$a Nazarov, Vadim I $u Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya, Moscow, 117997, Russia. vdm.nazarov@gmail.com. National Research University Higher School of Economics, 20 Myasnitskaya Ulitsa, Moscow, 101000, Russia. vdm.nazarov@gmail.com.
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$a 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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$a Pogorelyy, Mikhail V $u Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya, Moscow, 117997, Russia. m.pogorely@gmail.com.
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$a Komech, Ekaterina A $u Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya, Moscow, 117997, Russia. ekomech@gmail.com.
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$a Zvyagin, Ivan V $u Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya, Moscow, 117997, Russia. izvyagin@gmail.com. Central European Institute of Technology, Masaryk University, Brno, Czech Republic. izvyagin@gmail.com.
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$a Bolotin, Dmitry A $u Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya, Moscow, 117997, Russia. bolotin.dmitriy@gmail.com.
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$a Shugay, Mikhail $u Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya, Moscow, 117997, Russia. mikhail.shugay@gmail.com.
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$a Chudakov, Dmitry M $u Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya, Moscow, 117997, Russia. chudakovdm@mail.ru. Central European Institute of Technology, Masaryk University, Brno, Czech Republic. chudakovdm@mail.ru.
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$a Lebedev, Yury B $u Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya, Moscow, 117997, Russia. lebedev_yb@ibch.ru.
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$a Mamedov, Ilgar Z $u Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya, Moscow, 117997, Russia. imamedov78@gmail.com.
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