Unduliner is a Python command-line tool for predicting whether genomic variants are associated with local DNA methylation changes using nanopore long-read sequencing data.
It integrates MM/ML-tagged BAM files, VCFs, and a pre-trained deep learning model to evaluate methylation differences around SNVs and structural variants.
Usage details and test data are available on the Github page
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Release files for unduliner 1.0.3
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| unduliner-1.0.3.tar.gz | 2.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| unduliner-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.6 MB
Release files / unduliner-1.0.3.tar.gz
| Download URL | unduliner-1.0.3.tar.gz |
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| Size | 2.3 MB |
| Tags | Source |
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Transparency logRelease files / unduliner-1.0.3-py3-none-any.whl
| Download URL | unduliner-1.0.3-py3-none-any.whl |
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| Size | 2.3 MB |
| Tags | Python 3 |
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