OpenMS specifications

Unique identifier:
OMICS_02387
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
BSD 3-clause “New” or “Revised” License, GNU Lesser General Public License version 3.0
Version:
2.2.0
Maintained:
Yes
Software type:
Framework/Library
Restrictions to use:
None
Programming languages:
C++, Python
Computer skills:
Advanced
Stability:
Stable
Wikipedia:
https://en.wikipedia.org/wiki/OpenMS

Subtools

  • ConsensusID
  • ProteinQuantifier
  • TOPP

versioning

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No versioning.

OpenMS distribution

download

OpenMS support

Documentation

Maintainers

Additional information

https://github.com/OpenMS/OpenMS/wiki ConsensusID: http://ftp.mi.fu-berlin.de/pub/OpenMS/release-documentation/html/TOPP_ConsensusID.html ProteinQuantifier: http://ftp.mi.fu-berlin.de/pub/OpenMS/release-documentation/html/TOPP_ProteinQuantifier.html

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Credits

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Publications

Institution(s)

Applied Bioinformatics, Department for Computer Science, University of Tuebingen, Tuebingen, Germany; Center for Bioinformatics, University of Tuebingen, Tuebingen, Germany; Center for Quantitative Biology, University of Tuebingen, Tuebingen, Germany; Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tuebingen, Germany; Chair for Bioinformatics and Information Mining, Department of Computer and Information Science, University of Konstanz, Konstanz, Germany; Institute of Molecular Medicine and Cell Research, Freiburg University, Freiburg, Germany; Algorithmic Bioinformatics, Institute for Bioinformatics, FU Berlin, Berlin, Germany; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK

Funding source(s)

Supported by BMBF (grant numbers 031A535A, 031A430C, and 01ZX1301F) and Deutsche
Forschungsgemeinschaft (SFB685/B1, Core Facilities Initiative QBiC2).

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2 user reviews

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2 user reviews

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Marc Dubois's avatar image

Marc Dubois

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OpenMS is a C++ library for developers. Their programming interface is well done and very clear. A Python binding exposing most classes C ++ was created, an initiative that should be welcomed. It includes many algorithms for metabolomics and proteomics, all of which can be finely set. It brings new concepts of data reduction rather interesting (concept RawMap, PeakMap, FeatureMap) to theoretically manage large amounts of data. In theory only, since the development team announced reviewing the kernel openMS to greatly improve performance.

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achimt

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great set of tools with a steep learning curve

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