OpenMS / pyOpenMS 2.6.0 – C++ / Python Framework for Proteomics

OpenMS / pyOpenMS 2.6.0

:: DESCRIPTION

OpenMS is an open-source software C++ library for LC/MS data management and analyses. It offers an infrastructure for the development of mass spectrometry related software.

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pyOpenMS provides Python-bindings for the C++ OpenMS mass spectrometric algorithm library, allowing researchers to directly access algorithms and data structures available in C++ from the interactive Python environment. pyOpenMS thus provides access to a feature-rich, open-source algorithm library for mass-spectrometry based proteomics analysis, giving the user functionality ranging from file access (mzXML, mzML, TraML, mzIdentML among others), basic signal processing (smoothing, filtering, de-isotoping and peak-picking) and complex data analysis (including label-free, SILAC, iTRAQ and SWATH analysis tools).

DEVELOPER

OpenMS Team

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux/ Windows  / MacOsX
  • C++ Compiler / Python

:: DOWNLOAD

 OpenMS / pyOpenMS

:: MORE INFORMATION

Citation:

Röst HL, Schmitt U, Aebersold R, Malmström L.
pyOpenMS: a Python-based interface to the OpenMS mass-spectrometry algorithm library.
Proteomics. 2014 Jan;14(1):74-7. doi: 10.1002/pmic.201300246. PMID: 24420968.

TOPPAS: A Graphical Workflow Editor for the Analysis of High-Throughput Proteomics Data.
Junker J, Bielow C, Bertsch A, Sturm M, Reinert K, Kohlbacher O.
J Proteome Res. 2012 Jul 6;11(7):3914-20. Epub 2012 May 24.

OpenMS and TOPP: open source software for LC-MS data analysis.
Bertsch A, Gröpl C, Reinert K, Kohlbacher O.
Methods Mol Biol. 2011;696:353-67.