Standardise TCR/MHC data.
Project description
tidytcells is a lightweight python package that cleans and standardises T cell receptor (TCR) and Major Histocompatibility Complex (MHC) data to be IMGT-compliant. 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 can ameliorate this issue by auto-correcting and auto-standardising your data!
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.
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