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References
Nguyen, P. et al. BMC Genomics 12, 106 (2011).
Robins, H.S. et al. Blood 114, 4099–4107 (2009).
Venturi, V. et al. J. Immunol. 186, 4285–4294 (2011).
Warren, R.L. et al. Genome Res. 21, 790–797 (2011).
Bolotin, D.A. et al. Eur. J. Immunol. 42, 3073–3083 (2012).
Britanova, O.V. et al. Bone Marrow Transplant. 47, 1479–1481 (2012).
Acknowledgements
We are grateful to T. Schumacher and C. Linnemann for valuable technical discussions and to M. Eisenstein for English editing. This work was supported by the Molecular and Cell Biology program of the Russian Academy of Sciences and Russian Foundation for Basic Research (12-04-33139-mol-a, 12-04-33065-mol-a, 12-04-00229-a, 13-04-00998-a and 13-04-40251).
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Supplementary information
Supplementary Text and Figure
Supplementary Figure 1, Supplementary Tables 1–3 and Supplementary Notes 1–6 (PDF 368 kb)
Supplementary Data 1
Sample sequencing file of TCRβ NGS dataset. (ZIP 5778 kb)
Supplementary Data 2
Sample output file in the tab-delimited format. (TXT 5240 kb)
Supplementary Data 3
Sample output file in the cls format. (ZIP 1080 kb)
Supplementary Software
Archive with MiTCR executable files. (ZIP 1908 kb)
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Bolotin, D., Shugay, M., Mamedov, I. et al. MiTCR: software for T-cell receptor sequencing data analysis. Nat Methods 10, 813–814 (2013). https://doi.org/10.1038/nmeth.2555
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DOI: https://doi.org/10.1038/nmeth.2555
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