pyteomics
Pyteomics is a collection of lightweight and handy tools for Python that help to handle various sorts of proteomics data.
A Python toolkit for parsing and manipulating proteomics and mass-spectrometry data formats and identifiers.
About the Project
Why use this?
pyteomics provides lightweight Python tools for working with proteomics data, including parsers and writers for common mass-spectrometry formats, protein and peptide utilities, and tools for handling identifiers and auxiliary data. Its modular design makes it easy to build custom proteomics pipelines without adopting a heavyweight platform.
Computational biologists choose pyteomics when they need fine-grained Python control over proteomics data structures and file formats. It is especially useful for preprocessing spectra, parsing search-engine outputs, working with peptide and protein sequences, and integrating mass-spectrometry data into larger data-science workflows. [298][302][307]
Key Features
- Lightweight Python tools for proteomics data
- Parsers and writers for common mass-spectrometry formats
- Peptide, protein, and identifier utilities
- Modular design for custom analysis pipelines
- Strong fit for scripting and data-science integration
- Reference / Repo
- https://github.com/levitsky/pyteomics
- Tool / Hosted
- https://pyteomics.readthedocs.io/
- Free layer
- open-source