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Tidytcells

Standardise TR/MH/IG data

Install / Use

/learn @yutanagano/Tidytcells

README

<div align="center"> <img src="https://raw.githubusercontent.com/yutanagano/tidytcells/main/tidytcells.png" width=700> <br><br>

Tests Docs License DOI

Check out the documentation page.

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tidytcells is a lightweight python package that cleans and standardizes T cell receptor (TR), Major Histocompatibility (MH), and Immunoglobulin (IG) data to be IMGT-compliant. The main purpose of the package is to solve the problem of parsing and collating together non-standardized TR datasets. It is often difficult to compile TR data from multiple sources because the formats/nomenclature of how each dataset encodes TR and MH gene names are slightly different, or even inconsistent within themselves. tidytcells can ameliorate this issue by auto-correcting and auto-standardizing your data.

Installation

$ pip install tidytcells

Citing tidytcells

Please cite our manuscript.

BibTex

@ARTICLE{10.3389/fimmu.2023.1276106,
         AUTHOR={Nagano, Yuta  and Chain, Benjamin },
         TITLE={tidytcells: standardizer for TR/MH nomenclature},
         JOURNAL={Frontiers in Immunology},
         VOLUME={14},
         YEAR={2023},
         URL={https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2023.1276106},
         DOI={10.3389/fimmu.2023.1276106},
         ISSN={1664-3224}
}
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GitHub Stars9
CategoryDevelopment
Updated25d ago
Forks3

Languages

Python

Security Score

90/100

Audited on Mar 5, 2026

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