tidytcells is a lightweight python package that cleans and standardizes T cell receptor (TR) and Major Histocompatibility (MH) 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!
Check out the documentation page.
Via PyPI (recommended)
tidytcells can be installed using pip:
$ pip install tidytcellsFrom 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.