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The codebase of the OpenMS project

Home Page: https://www.openms.de

License: Other

CMake 3.62% Shell 0.17% Ruby 0.09% C++ 89.49% Python 1.55% R 0.12% XSLT 0.10% HTML 0.08% C 0.08% TeX 0.03% Batchfile 0.01% NSIS 0.32% PHP 0.34% Perl 0.01% MAXScript 0.22% Cython 3.78% JetBrains MPS 0.01%

openms's Introduction

OpenMS

License (3-Clause BSD) Codacy Badge Project Stats Discord Shield Gitter install with bioconda documentation Gitpod Ready-to-Code Anaconda-Server Badge

OpenMS is an open-source software C++ library for LC-MS data management and analyses. It offers an infrastructure for rapid development of mass spectrometry related software. OpenMS is free software available under the three clause BSD license and runs under Windows, macOS, and Linux.

It comes with a vast variety of pre-built and ready-to-use tools for proteomics and metabolomics data analysis (TOPPTools) as well as powerful 1D, 2D and 3D visualization (TOPPView).

OpenMS offers analyses for various quantitation protocols, including label-free quantitation, SILAC, iTRAQ, TMT, SRM, SWATH, etc.

It provides built-in algorithms for de-novo identification and database search, as well as adapters to other state-of-the art tools like X!Tandem, Mascot, Comet, etc. It supports easy integration of OpenMS built tools into workflow engines like KNIME, Galaxy, WS-Pgrade, and TOPPAS via the TOPPtools concept and a unified parameter handling via a 'common tool description' (CTD) scheme.

With pyOpenMS, OpenMS offers Python bindings to a large part of the OpenMS API to enable rapid algorithm development. OpenMS supports the Proteomics Standard Initiative (PSI) formats for MS data. The main contributors of OpenMS are currently the Eberhard-Karls-Universität in Tübingen, the Freie Universität Berlin, and the ETH Zürich.

Features

  • Core C++ library under three-clause BSD licence using modern C++17
  • Python bindings to the C++ API through pyOpenMS
  • Major community file formats supported (mzML, mzXML, mzIdentXML, pepXML etc)
  • Over 150+ individual analysis tools (TOPP Tools), covering most MS and LC-MS data processing and mining tasks
  • Powerful 1D, 2D and 3D visualization tools (TOPPView)
  • Support for most MS identification and quantification workflows (targeted, DIA, label-free, isobaric and stable isotope)
  • Support for all major platforms (Windows [XP, 7, 8, 10], macOS and Linux)

Documentation

Users and developers should start by reading the OpenMS documentation. OpenMS API reference documentation and advanced developer doxygen documentation can be browsed here.

openms.readthedocs.io documentation has two release endpoints:

  1. develop: documentation of OpenMS develop branch.
  2. latest: documentation of the latest stable OpenMS release.

Likewise, OpenMS API reference has:

  1. nightly: OpenMS API reference and advanced developer documentation of nightly releases.
  2. latest : OpenMS API reference and advanced developer documentation of latest stable release.

Documentation for the Python bindings pyOpenMS can be found on the pyOpenMS online documentation.

Citation

Please cite:

Rost HL, Sachsenberg T, Aiche S, Bielow C et al. OpenMS: a flexible open-source software platform for mass spectrometry data analysis. Nat Meth. 2016; 13, 9: 741-748. doi:10.1038/nmeth.3959.

The file AUTHORS contains a list of all authors who worked on OpenMS.

Licence

OpenMS is released under the three clause BSD licence.

openms's People

Contributors

hroest avatar cbielow avatar timosachsenberg avatar aiche avatar lars20070 avatar jpfeuffer avatar hendrikweisser avatar enetz avatar oliveralka avatar pcolaianni avatar hannesveit avatar dmccloskey avatar poshul avatar waschi97 avatar grosenberger avatar axelwalter avatar metabo avatar fabianaicheler avatar leon-bichmann avatar petragutenbrunner avatar michalsta avatar bertrandboudaud avatar pati-ni avatar bernt-matthias avatar ahmedskhalil avatar liangoaix avatar sgalkina avatar zethson avatar hanschristianehrlich avatar lukaszimmermann avatar

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