Nagano, Y;
Chain, B;
(2023)
tidytcells: standardizer for TR/MH nomenclature.
Frontiers in Immunology
, 14
, Article 1276106. 10.3389/fimmu.2023.1276106.
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Abstract
T cell receptors (TR) underpin the diversity and specificity of T cell activity. As such, TR repertoire data is valuable both as an adaptive immune biomarker, and as a way to identify candidate therapeutic TR. Analysis of TR 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 TR nomenclature. The software is open-sourced under the MIT license and is available to install from the Python Package Index (PyPI). At the time of publishing, tidytcells is on version 2.0.0.
Type: | Article |
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Title: | tidytcells: standardizer for TR/MH nomenclature |
Location: | Switzerland |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3389/fimmu.2023.1276106 |
Publisher version: | https://doi.org/10.3389/fimmu.2023.1276106 |
Language: | English |
Additional information: | Copyright © 2023 Nagano and Chain. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Keywords: | T cell receptor (TCR), major histocompatibility complex (MHC), data preprocessing, data cleaning, python (programming language), T cell receptor repertoire |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Infection and Immunity |
URI: | https://discovery.ucl.ac.uk/id/eprint/10181962 |
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