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Standardise TCR/MHC data.

Project description

tidytcells

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tidytcells is a lightweight python package that cleans and standardizes 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-standardized 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-standardizing your data! Check out the documentation page.

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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