Note that this project has been migrated to Gitlab. Please submit issues or feature requests on that website.
This is a collection of scripts to aid in the processing and interpretation of mass spectrometric data.
The project was created by Lars Yunker in the McIndoe group at the University of Victoria, Victoria, BC, Canada.
If you use these tools in your research endeavours, please cite Yunker et al. J. Chem. Inf. Model., 2019, 59(4) pp 1295-1300.
This package has been written for python 3.5+.
This framework is available on PyPI. To install, execute
pip install pythoms
in the command line on a Python-configured computer. If you do not yet have Python on your computer, there are many excellent tutorials on accomplishing this.
PyPI installations do not include the scripts in this repository.
If you wish to use these scripts, download the entire repository to a
folder on your computer, run python setup.py install
with that
folder as the current working directory (this installs the dependencies),
and execute the scripts as needed.
To help novice users, a tutorial video for PythoMS installation on Windows is available.
We have created tutorial videos on the use of several scripts in this package:
We welcome contributions, so if you're interested in contributing please email larsy[at]uvic{dot}ca. Particularly, we are in need of mzML file examples where the data was not generated by Proteowizard (intially from a Waters instrument).
Many thanks to the following individuals for their contributions to PythoMS:
If you encounter an error, please submit an Issue in Github with as much information as possible.
Things that are helpful to include:
This script takes supplied raw and parameters files and generates reconstructred single ion monitoring traces. A tutorial video is available.
Takes a supplied mass spectrum and overlays the predicted isotope pattern onto it. A tutorial video is available.
A tool for generating a series of images showing mass spectrum and traces which can be combined into a video. Tutorial videos are available for both Windows and Mac
Renders a series of images which zoom into the y-axis to illustrate the dynamic range of mass spectrometers.
Contains classes for describing the physico-chemical properties of molecules.
The IPMolecule
class contains algorithms for predicting the
isotope pattern of said molecule.
Contains an efficient helper class for combining spectra of different shape and managing impractically precise x values.
Contains classes for interacting with mzML files in a pythonic manner.
These tools are licensed under the MIT license.