tidytcells

Tests

Check out the documentation page.

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}
}

Metadata

Release files for tidytcells 2.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tidytcells 2.2.1
File	Size	Uploaded
tidytcells-2.2.1.tar.gz	108.5 kB	May 7, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for tidytcells 2.2.1
File	Interpreter	ABI	Platform	Reset
tidytcells-2.2.1-py3-none-any.whl 127.8 kB May 7, 2026	Python 3	none	any	Details

Total release size: 236.3 kB

Release files / tidytcells-2.2.1.tar.gz

Download URL	tidytcells-2.2.1.tar.gz
Size	108.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`a65e8a827e0cfa05ca1fa612fc4e2e6200255e8e9c965026247c7e3bf9ebd6f9`
BLAKE2b-256 checksum How to use checksums	`94b30a35839dae286989f88c3b356e3ae3cb4266ddf8cec2c94126c9c20dadc2`
Upload date	May 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/yutanagano/tidytcells
Publishing commit: github.com/yutanagano/tidytcells/tree/fe6257d6621a7893a147dc51449de64629a8c776

Workflow

Publishing configuration: github.com/yutanagano/tidytcells/blob/fe6257d6621a7893a147dc51449de64629a8c776/.github/workflows/publish_to_pypi.yaml
Publishing logs: github.com/yutanagano/tidytcells/actions/runs/25471436965/attempts/1

Artifact

Subject: tidytcells-2.2.1.tar.gz
SHA-256 checksum: a65e8a827e0cfa05ca1fa612fc4e2e6200255e8e9c965026247c7e3bf9ebd6f9 Verifying attestations

Release files / tidytcells-2.2.1-py3-none-any.whl

Download URL	tidytcells-2.2.1-py3-none-any.whl
Size	127.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`27a672ba07af306b2be5e8fcc307cf0a9ea7dcf603b1e33868d041b90d0f44c4`
BLAKE2b-256 checksum How to use checksums	`e5dbf7add444d61506fcd5ac55e13c00a70b14f3f6510fdfe6d1943db0ac4798`
Upload date	May 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/yutanagano/tidytcells
Publishing commit: github.com/yutanagano/tidytcells/tree/fe6257d6621a7893a147dc51449de64629a8c776

Workflow

Publishing configuration: github.com/yutanagano/tidytcells/blob/fe6257d6621a7893a147dc51449de64629a8c776/.github/workflows/publish_to_pypi.yaml
Publishing logs: github.com/yutanagano/tidytcells/actions/runs/25471436965/attempts/1

Artifact

Subject: tidytcells-2.2.1-py3-none-any.whl
SHA-256 checksum: 27a672ba07af306b2be5e8fcc307cf0a9ea7dcf603b1e33868d041b90d0f44c4 Verifying attestations