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Automatic DCR: a modified version of Decombinator for uncommon specific TCR annotation-related tasks

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autoDCR

Jamie Heather, MGH, 2025

PyPI - Version License: MIT Static Badge

autoDCR (short for automatic Decombinator) is a python script to perform T cell receptor (TCR) gene annotation. This is inspired by and in part built upon the core functionality of Decombinator, the TCR analysis software developed by the Chain lab at UCL. It uses a similar conceptual framework of using fast Aho-Corasick tries to search for the presence of 'tag' sequences in DNA reads, and use these to identify V and J TCR genes. However it applies that core concept in different ways, to perform several niche functions that are not well catered to in other TCR annotation pipelines.

Note that autoDCR is under development and should be considered experimental, specifically aiming to cater to specific case uses. The documentation can be found here: https://jamieheather.github.io/autoDCR/.

The 0.2.7 version used in prior publications can be accessed via the releases page.

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