Skip to main content

Mass spectrometry utility functions

Project description

spectrum_utils

conda PyPI Build status docs

spectrum_utils is a Python package for efficient mass spectrometry data processing and visualization.

spectrum_utils contains the following features:

  • Spectrum loading from online proteomics and metabolomics data resources using the Universal Spectrum Identifier (USI) mechanism.
  • Common spectrum processing operations (precursor & noise peak removal, intensity filtering, intensity scaling) optimized for computational efficiency.
  • Annotating observed spectrum fragments using the ProForma 2.0 specification for (modified) peptidoforms.
  • Publication-quality, fully customizable spectrum plotting and interactive spectrum plotting.

Installation

spectrum_utils requires Python version 3.8+ and can be installed with pip or conda.

Using pip:

pip install spectrum_utils[iplot]

Using conda:

conda install -c bioconda spectrum_utils

Documentation

Please see the documentation for detailed installation instructions, usage examples, the API reference, and more information.

Citation

spectrum_utils is freely available as open source under the Apache 2.0 license.

When using spectrum_utils, please cite the following manuscripts:

  • Wout Bittremieux. "spectrum_utils: A Python package for mass spectrometry data processing and visualization." Analytical Chemistry 92, 659--661 (2020) doi:10.1021/acs.analchem.9b04884.
  • Wout Bittremieux, Lev Levitsky, Matteo Pilz, Timo Sachsenberg, Florian Huber, Mingxun Wang, Pieter C. Dorrestein. "Unified and standardized mass spectrometry data processing in Python using spectrum_utils" bioRxiv (2022).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spectrum_utils-0.4.2.tar.gz (1.0 MB view hashes)

Uploaded Source

Built Distribution

spectrum_utils-0.4.2-py3-none-any.whl (45.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page