Standardise TR/MH data
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tidytcells is a lightweight python package that cleans and standardizes T cell receptor (TR) and Major Histocompatibility (MH) 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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