Metadata-Version: 2.1
Name: tidytcells
Version: 0.0.4
Summary: Standardise TCR/MHC gene symbols.
Author: Yuta Nagano
Author-email: yutanagano51@proton.me
Keywords: immunology,bioinformatics,TCR,MHC,HLA,IMGT
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE.txt

tidytcells
==========

.. note::

    This package is currently in the alpha stage of development.

.. note::

    This package currently only supports parsing of human TCR and MHC gene
    data. Support for more species is planned for the future.

``tidytcells`` is a lightweight Python package written for bioinformaticians
who work with T cell receptor (TCR) data. The main purpose of the package is to
solve the problem of parsing and collating together non-standardised TCR
datasets. It is often difficult to compile TCR data from multiple sources
because the formats/nomenclature of how each dataset encodes TCR and MHC gene
names are slightly different, or even inconsistent within themselves.
``tidytcells`` attempts to ameliorate this issue by providing simple functions
that can standardise TCR and MHC gene symbols to their officially accepted
versions, as defined by `IMGT <https://www.imgt.org/>`_,
`HGNC <https://www.genenames.org/>`_, or other authorities on gene
nomenclature.

Useful links
------------

- `Documentation <https://tidytcells.readthedocs.io>`_
- `PyPI page <https://pypi.org/project/tidytcells>`_
