Article ; Online: tidytcells: standardizer for TR/MH nomenclature.
2023 Volume 14, Page(s) 1276106
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 ...
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. |
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MeSH term(s) | Receptors, Antigen, T-Cell ; Publishing ; Software |
Chemical Substances | Receptors, Antigen, T-Cell |
Language | English |
Publishing date | 2023-10-25 |
Publishing country | Switzerland |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2606827-8 |
ISSN | 1664-3224 ; 1664-3224 |
ISSN (online) | 1664-3224 |
ISSN | 1664-3224 |
DOI | 10.3389/fimmu.2023.1276106 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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