The is a test version
Installation
biolxyUtil runs on Python 2 and Python 3. Your operating system might already provide Python 2.7, which you can check on the command line:
python --version
If your operating system already includes Python 2.6, I suggest either using conda (see below) or installing Python 2.7 alongside the existing Python 2.6 instead of attempting to upgrade it in-place. Your package manager might provide both versions of Python.
To run the recommended segmentation algorithms CBS and Fused Lasso, you will need to also install the R dependencies (see below).
From a Python package repository
Reasonably up-to-date biolxyUtil packages are available on PyPI and can be installed using pip (usually works on Linux if the system dependencies listed below are installed):
pip install biolxyUtil
From source
The script biolxyUtil.py requires no installation and can be used in-place. Just install the dependencies.
To install the main program, supporting scripts and cnvlib Python library, use setup.py as usual:
python setup.py build python setup.py install
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Metadata
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Release files for biolxyUtil 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| biolxyUtil-0.0.4.tar.gz | 7.2 kB | Details |
Release files / biolxyUtil-0.0.4.tar.gz
| Download URL | biolxyUtil-0.0.4.tar.gz |
|---|---|
| Size | 7.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.5.5
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