Welcome to tidytcells’s documentation!

Attention

This package is currently in the beta stage of development.

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!

Contents

• Installation
  • Via PyPI (recommended)
  • From source
• Usage
  • tidytcells’ structure
  • Standardising TCR/MHC gene names
  • Querying from IMGT TCR/MHC genes or alleles
  • Other MHC utilities
  • Example usage
• API reference
  • tidytcells
• Contribute
  • Setting up a development environment
  • Running tests

Indices and tables

• Index

• Module Index

• Search Page