Skip to main content

A framework for proteomics data analysis.

Project description

What is Pyteomics?

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.

Pyteomics is hosted at the following sites:

Feedback & Support

Please email to pyteomics@googlegroups.com with any questions about Pyteomics. You are welcome to use the BitBucket issue tracker to report bugs, request features, etc.

Required Python versions

Pyteomics supports Python 2.7 and Python 3. Python 2.6 and older are not supported.

Project dependencies

Pyteomics uses the following python packages:

  • numpy

  • matplotlib (used by pyteomics.pylab_aux)

  • lxml (used by pyteomics.mzml, pyteomics.pepxml)

GNU/Linux

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

Windows

  • Download pre-compiled binary packages for Pyteomics dependencies:

  • Download a pre-compiled binary Pyteomics package from the list.

OR

  • If you have Enthought Python Distribution / ActivePython, execute in the command line:

    easy_install pip
    pip install lxml numpy matplotlib pyteomics

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

pyteomics-2.0.3.tar.gz (52.6 kB view details)

Uploaded Source

Built Distributions

pyteomics-2.0.3.win-amd64_py3.2.exe (279.6 kB view details)

Uploaded Source

pyteomics-2.0.3.win-amd64_py2.7.exe (279.1 kB view details)

Uploaded Source

pyteomics-2.0.3.win32_py3.2.exe (251.4 kB view details)

Uploaded Source

pyteomics-2.0.3.win32_py2.7.exe (251.4 kB view details)

Uploaded Source

File details

Details for the file pyteomics-2.0.3.tar.gz.

File metadata

  • Download URL: pyteomics-2.0.3.tar.gz
  • Upload date:
  • Size: 52.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyteomics-2.0.3.tar.gz
Algorithm Hash digest
SHA256 f200b41a58e76f4098bce03705620d91632f730d2884e9cf00bbfc3e0363d858
MD5 411f8c41fbfe36ca6b48ae5f7e10f5ac
BLAKE2b-256 bf8908565bdd19c75a6426e2d522bece3ee0e5b5834a74551a5095cc7f12fee7

See more details on using hashes here.

File details

Details for the file pyteomics-2.0.3.win-amd64_py3.2.exe.

File metadata

File hashes

Hashes for pyteomics-2.0.3.win-amd64_py3.2.exe
Algorithm Hash digest
SHA256 275454f2a8ed820d347610207310a7c692e3cd711d414aa5aa815e0a77835c2c
MD5 720e20c61ea925654e7afc50a1eb6c7b
BLAKE2b-256 780cbd8a431603faea58f42863037c5b55258c71eb7e8319faebbfc19601812e

See more details on using hashes here.

File details

Details for the file pyteomics-2.0.3.win-amd64_py2.7.exe.

File metadata

File hashes

Hashes for pyteomics-2.0.3.win-amd64_py2.7.exe
Algorithm Hash digest
SHA256 406974260ff04b7263a21c1b5898e0237767b8a0a5f58a3eca2476833ecf1489
MD5 4232c1ea3b16beb31c48bceb0388219c
BLAKE2b-256 f60678f7656053366c047a10b7acfa7f61b25a7807272f70c802c1371e9fd6ea

See more details on using hashes here.

File details

Details for the file pyteomics-2.0.3.win32_py3.2.exe.

File metadata

File hashes

Hashes for pyteomics-2.0.3.win32_py3.2.exe
Algorithm Hash digest
SHA256 dde1b326da938b8bbe2014e2972887d717f10a4293e180d67f9a64c4d06deabd
MD5 6130761e7d608a883934a2a8f812ceac
BLAKE2b-256 70a66e00955db05cbdfed22bde9edf3194bfa498c63bb99b42b5fe2285e9ff7b

See more details on using hashes here.

File details

Details for the file pyteomics-2.0.3.win32_py2.7.exe.

File metadata

File hashes

Hashes for pyteomics-2.0.3.win32_py2.7.exe
Algorithm Hash digest
SHA256 cd3b3edd4ddfa677f34c721fbb5c9c2a4e14993240fd42aa85f730843f3674be
MD5 928d0a2c1e11c1a3f703a265bdf2ba4d
BLAKE2b-256 12d26396449845b3e48aa489b9074204a3ac881150143fb7ce6e29d1819fd3d0

See more details on using hashes here.

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