Precompiled or prepackaged versions of OpenMS, PyProphet and msproteomicstools are readily available for most supported platforms.
Instructions for compilation and installation can be obtained from the OpenMS documentation.
PyProphet requires Python 2.7 or Python 3. Windows users should install Anaconda. Mac and Linux users should be able to install PyProphet directly from GitHub. It is strongly recommended to install PyProphet within a virtualenv.
# Install dependencies pip install numpy scipy scikit-learn pandas numexpr statsmodels Click matplotlib seaborn # Install PyProphet release version pip install pyprophet # Alternative: Install PyProphet development version pip install git+https://github.com/PyProphet/pyprophet.git@master
msproteomicstools & TRIC
msproteomicstools requires Python 2.7 and can be installed through
Microsoft Windows you will first have to install Python (the easiest way to do
this is to download Anaconda).
You can then install msproteomicstools through PyPI:
pip install numpy pip install msproteomicstools
You can alternatively download the msproteomicstools release directly from PyPI. To obtain the latest development version, please download the code from GitHub. If you are using Microsoft Windows and Anaconda, it is possible that BioPython does not properly install and you may have to install it through Anaconda:
conda install biopython
MOBI-DIK & diapysef
MOBI-DIK uses a python package
diapysef for data conversion and library
generation. It requires Python 3 and can be installed through
analyzing ion mobility data, a Bruker distributed sdk library is required. The
sdk library can be obtained through Bruker distributions or through installing
libraries would be
timsdata.dll for Windows and
Linux. You can install diapysef through PyPI:
pip install diapysef