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Maspy is a Python library with the aim to provide simple, convenient and versatile access to proteomics data of bottom up experiments. To achieve this it features an internal data representation that facilitates comfortable use of this data. Maspy is intended as a tool for researchers that allows the combination of different software to generate customized and scriptable data processing workflows and to enable interactive data analysis with Python.
An introduction to the underlying concepts of maspy is available at http://maspy.readthedocs.io
In order to show how to use maspy we are going to provide examples of simple data analysis workflows.
Test files can be downloaded from https://github.com/hollenstein/maspy_testfiles
For Windows users without Python we recommend installing the free
Anaconda <https://www.continuum.io/downloads> Python package provided by
Continuum Analytics, which already contains a large number of popular Python
packages for data science. Or get it from the
Python homepage <https://www.python.org/downloads/windows/>.
For installing we recommend using
PIP <https://pip.pypa.io/en/stable/installing/>. The following command will
install the latest version of a maspy and its dependencies from the Python
Packaging Index PyPi <https://pypi.python.org/pypi/maspy/1.1.3>:
pip install maspyMaspy is developed and tested on Python 2.7 and 3.5. Tested on Windows (7) and Linux (Debian 8).
maspy is licensed under the Apache License 2.0 <http://www.apache.org/licenses/LICENSE-2.0.txt>_.
The project contains additional code and files licensed under different
licenses. For details refer to LICENSE.txt <https://github.com/hollenstein/maspy/blob/master/LICENSE.txt>_.
David Hollenstein https://github.com/hollenstein
Jakob Hollenstein https://github.com/jkbjh