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A framework to support functional programming for computational biology algorithm development

Project description

License: LGPL v3 Python 2.7 Python 3.7 PyPI version

Kagami Library

The Kagami library is a Python package to accelerate the development of novel computational biology algorithms. It is currently under rapid growth. Although the APIs are aimed to remain consistent within a major version, compatible between releases are not guaranteed. Please note that there is no plan to include documents anytime soon.

The Kagami library is distributed under the GNU Lesser General Public License v3.0.


Using pip:

pip install kagami


python -c "import kagami; kagami.test()"


If you use Kagami, ACS or MOCHA in a publication, we would appreciate citations: (coming soon)

Kagami is part of Albert's scientific toolbox.

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