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A Python library to aid in the processing and interpretation of mass spectrometric data.

Project description

mass-spec-python-tools: mass spec made easier

What is it?

This is a collection of scripts to aid in the processing and interpretation of mass spectrometric data.

The project was created by Lars Yunker at the University of Victoria, Victoria, B.C.

Requirements and Installation:

This package has been written for python 3.5+.

Getting started

This framework is available on PyPI. To install, execute

pip install pythoms

in the command line.

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 pip install -r requirements.txt with that folder as the current working directory (installs the dependencies), and execute the scripts as needed.

  • Python users interested in applying the scripts directly can edit the input parameters in the files.
  • Developers can import many of the classes to create scripts tailored to their needs.

Errors and Contributing

If you encounter an error, please submit an Issue in Github with as much information as possible.

Things that are helpful to include:

  • the raw file you were trying to parse (zip it first)
  • the exact parameters you were using
  • any additional files you were supplying to the script
  • the error output

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).

Scripts:

PyRSIR

This script takes supplied raw and parameters files and generates reconstructred single ion monitoring traces. For specific instructions on using the PyRSIM script, see this tutorial video

isotope pattern overlay

Takes a supplied mass spectrum and overlays the predicted isotope pattern onto it.

video frame renderer

A tool for generating a series of images showing mass spectrum and traces which can be combined into a video.

y-axis zoom figure

Renders a series of images which zoom into the y-axis to illustrate the dynamic range of mass spectrometers.

Highlighted Modules

molecule

Contains classes for describing the physico-chemical properties of molecules. The IPMolecule class contains algorithms for predicting the isotope pattern of said molecule.

spectrum

Contains an efficient helper class for combining spectra of different shape and managing impractically precise x values.

mzML

Contains classes for interacting with mzML files in a pythonic manner.

License

These tools are licensed under the MIT license.

Project details


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