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bioRxiv · 10.1101/2023.09.21.558778

tidytcells: standardizer for TCR/MHC nomenclature

Nagano, Y.·Chain, B.
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Abstract

T cell receptors (TCRs) underpin the diversity and specificity of T cell activity. As such, TCR repertoire data is valuable both as an adaptive immune biomarker, and as a way to identify candidate therapeutic TCRs. Analysis of TCR repertoires relies heavily on computational analysis, and therefore it is of vital importance that the data is standardized and computer-readable. However in practice, the usage of different abbreviations and non-standard nomenclature in different datasets makes this data pre-processing non-trivial. tidytcells is a lightweight, platform-independent Python package that provides easy-to-use standardization tools specifically designed for TCR nomenclature. The software is open-sourced under the MIT license and is available to install from the Python Package Index (PyPI).

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Nagano, Y., Chain, B.. 2023-09-23. tidytcells: standardizer for TCR/MHC nomenclature. https://doi.org/10.1101/2023.09.21.558778

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