lcwgsus: low-coverage whole-genome sequencing analyses
Lcwgsus is a Python package written to perform downstream low-coverage whole-genome sequencing (lcWGS) analyses.
Installation
Please install lcwgsus with the following command:
pip install lcwgsus
Dependencies
Lcwgsus supports Python 3.8+.
Installation requires numpy, pandas, matplotlib, seaborn, statsmodels, and scipy.
Citation
Lcwgsus is not a published work, so citing the GitHub repo suffices. Please refer to the CITATION.cff file.
Development
See the main site of lcwgsus: https://github.com/Suuuuuuuus/lcwgsus.
Bugs shall be submitted to the issue tracker. Please kindly provide a reproducible example demonstrating the problem.
1 maintainer
Metadata
1 maintainer
Release files for lcwgsus 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lcwgsus-0.0.2.tar.gz | 31.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lcwgsus-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 68.8 kB
Release files / lcwgsus-0.0.2.tar.gz
| Download URL | lcwgsus-0.0.2.tar.gz |
|---|---|
| Size | 31.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.8.15
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Release files / lcwgsus-0.0.2-py3-none-any.whl
| Download URL | lcwgsus-0.0.2-py3-none-any.whl |
|---|---|
| Size | 37.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.15
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