A framework for proteomics data analysis.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for goloborodko.anton from gravatar.com goloborodko.anton Avatar for levitsky from gravatar.com levitsky

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

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.

Supported Python versions

Pyteomics supports Python 2.7 and Python 3.3+.

Project dependencies

Pyteomics uses the following Python packages:

  • numpy

  • matplotlib (used by pyteomics.pylab_aux)

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

  • pandas (can be used with pyteomics.pepxml, pyteomics.tandem, pyteomics.auxiliary)

  • sqlalchemy (used by pyteomics.mass.unimod)

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

Arch-based distros

On Arch Linux and related distros, you can install Pyteomics from AUR:

Windows

  • Get pip, if you don’t have it yet.

  • Install Pyteomics and its dependencies:

    pip install lxml numpy matplotlib pyteomics

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for goloborodko.anton from gravatar.com goloborodko.anton Avatar for levitsky from gravatar.com levitsky

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

4.7.5

4.7.4

4.7.3

4.7.2

4.7.1

4.7

4.6.3

4.6.2

4.6.1

4.6

4.5.6

4.5.5

4.5.4

4.5.3

4.5.2

4.5.1

4.5

4.4.2

4.4.1

4.4.0

4.4.0b0 pre-release

4.3.3

4.3.2

4.3.1

4.3

4.3a1 pre-release yanked

4.2

4.1.2

4.1.1

4.1

4.0.1

4.0

3.5.1

3.5

3.4.2

This version

3.4.1

3.4

3.3.1

3.3

3.2

3.1.1

3.1

3.0.1

3.0.0

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.4.3

2.4.2

2.4.1

2.4.0

2.3.0

2.2.2

2.2.1

2.2.0

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.3

2.0.2

2.0.1

2.0

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.0

1.0.0

Download files

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

Source Distribution

pyteomics-3.4.1.tar.gz (175.9 kB view details)

Uploaded Source

Built Distribution

pyteomics-3.4.1-py2.py3-none-any.whl (131.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pyteomics-3.4.1.tar.gz.

File metadata

  • Download URL: pyteomics-3.4.1.tar.gz
  • Upload date:
  • Size: 175.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyteomics-3.4.1.tar.gz
Algorithm Hash digest
SHA256 58461b03554ae5535c7ef2d1541e12bcfb8b466e70d0dedb827d256050a22eb5
MD5 9e1aecc88b7ea6e7bc6e77e6479cbb82
BLAKE2b-256 473b5bd0be5c9f3bd36b3899e1bbf4351961c57af356efe380dd5749dcaafa3f

See more details on using hashes here.

File details

Details for the file pyteomics-3.4.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pyteomics-3.4.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c605dbec7097efc72f96c3a86b54292d64d533438e9f675ca867788d0aff5b57
MD5 0d5c50ce50e34f9862219287bab78d7c
BLAKE2b-256 2929bbd7a9b1aeb54b3fe0e63489e0b30c08038053ce831a599050f8a9aa2f0e

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