Sign in
ImmunologybioRxiv

tidytcells: standardizer for TCR/MHC nomenclature

Y. Nagano, B. Chain

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).

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISValkiers '21Peng '22Mullan '23Quast '25Deuren '23Gurun '23
61% semantic matchBioinformatics
Sebastiaan Valkiers, Max Van Houcke, Kris Laukens+1 more·Computer applications in the biosciences·Jun 15, 2021· 82 citations