A framework for proteomics data analysis.
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:
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.
Pyteomics supports Python 2.7 and Python 3.3+.
Pyteomics uses the following Python packages:
All dependencies are optional.
The preferred way to obtain Pyteomics is via pip Python package manager. The shell code for a freshly installed Ubuntu system:
sudo apt-get install python-setuptools python-dev build-essential sudo easy_install pip sudo pip install lxml numpy matplotlib pyteomics
Get pip, if you don’t have it yet.
Install Pyteomics and its dependencies:
pip install lxml numpy matplotlib pyteomics
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|pyteomics-3.4.2-py2.py3-none-any.whl (133.8 kB) Copy SHA256 Checksum SHA256||py2.py3||Wheel||Jun 30, 2017|
|pyteomics-3.4.2.tar.gz (173.0 kB) Copy SHA256 Checksum SHA256||–||Source||Jun 30, 2017|