tidytcells 1.3.2

Standardise TCR/MHC data.

Note

This package is currently in the alpha stage of development.

Note

Support for species other than Homo sapiens is currently limited (see the docs). 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.

Installation

Via PyPI (recommended)

tidytcells can be installed using pip:

$ pip install tidytcells

From source

The source code for the package is available on Github. To install from source, clone the git repository, and run:

$ pip install .

from inside the project root directory.

Useful links

• Documentation

• PyPI page