A library for dealing with omic-data in the life sciences
PyOmics - A library for dealing with omic-data in the life sciences
Project has started in April 2017. So there are not a lot of things online right now.
The goal of the project is to build some nice functionality for many tasks with which scientists have to deal on a daily basis.
Feel free to make suggestions to the project and I’m looking forward to any contributions.
Simply use the Python package index to install PyOmics. This way is recommended since it provides full pip functionality (upgrade, uninstall).
$ pip install PyOmics
Alternatively, you can clone the repository and manually run setup.py. This will always give you the latest version of PyOmics, but might be unstable at some point.
$ git clone https://github.com/FloBay/PyOmics.git $ cd <path_to>/PyOmics $ python setup.py install
There is no official documentation file available (so far). Sorry about that !! At some point in the future, however, there will be one available.
Meanwhile, PyOmics places a high premium on well documented source code in compliance with several PEPs. Docstrings are written according to the NumPy/SciPy Documentation formatting Guide.
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