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Pyteomics is a collection of lightweight and handy tools for Python that help to
handle various sorts of proteomics data. Pyteomics provides a growing set of
modules to facilitate the most common tasks in proteomics data analysis, such
as:
- calculation of basic physico-chemical properties of polypeptides:
- mass and isotopic distribution
- charge and pI
- chromatographic retention time
- access to common proteomics data:
- MS or LC-MS data
- FASTA databases
- search engines output
- easy manipulation of sequences of modified peptides and proteins
The goal of the Pyteomics project is to provide a versatile, reliable and
well-documented set of open tools for the wide proteomics community. One of the
project's key features is Python itself, an open source language increasingly
popular in scientific programming. The main applications of the library are
reproducible statistical data analysis and rapid software prototyping.
See also: https://github.com/levitsky/pyteomics
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