autoDCR
Jamie Heather, MGH, 2025
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.
Metadata
Release files for autoDCR 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autodcr-0.3.1.tar.gz | 39.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autodcr-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.7 kB
Release files / autodcr-0.3.1.tar.gz
| Download URL | autodcr-0.3.1.tar.gz |
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| Size | 39.9 kB |
| Tags | Source |
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Release files / autodcr-0.3.1-py3-none-any.whl
| Download URL | autodcr-0.3.1-py3-none-any.whl |
|---|---|
| Size | 44.8 kB |
| Tags | Python 3 |
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