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OpenMS – An open-source software framework for mass spectrometry
BACKGROUND: Mass spectrometry is an essential analytical technique for high-throughput analysis in proteomics and metabolomics. The development of new separation techniques, precise mass analyzers and experimental protocols is a very active field of research. This leads to more complex experimental...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2311306/ https://www.ncbi.nlm.nih.gov/pubmed/18366760 http://dx.doi.org/10.1186/1471-2105-9-163 |
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author | Sturm, Marc Bertsch, Andreas Gröpl, Clemens Hildebrandt, Andreas Hussong, Rene Lange, Eva Pfeifer, Nico Schulz-Trieglaff, Ole Zerck, Alexandra Reinert, Knut Kohlbacher, Oliver |
author_facet | Sturm, Marc Bertsch, Andreas Gröpl, Clemens Hildebrandt, Andreas Hussong, Rene Lange, Eva Pfeifer, Nico Schulz-Trieglaff, Ole Zerck, Alexandra Reinert, Knut Kohlbacher, Oliver |
author_sort | Sturm, Marc |
collection | PubMed |
description | BACKGROUND: Mass spectrometry is an essential analytical technique for high-throughput analysis in proteomics and metabolomics. The development of new separation techniques, precise mass analyzers and experimental protocols is a very active field of research. This leads to more complex experimental setups yielding ever increasing amounts of data. Consequently, analysis of the data is currently often the bottleneck for experimental studies. Although software tools for many data analysis tasks are available today, they are often hard to combine with each other or not flexible enough to allow for rapid prototyping of a new analysis workflow. RESULTS: We present OpenMS, a software framework for rapid application development in mass spectrometry. OpenMS has been designed to be portable, easy-to-use and robust while offering a rich functionality ranging from basic data structures to sophisticated algorithms for data analysis. This has already been demonstrated in several studies. CONCLUSION: OpenMS is available under the Lesser GNU Public License (LGPL) from the project website at . |
format | Text |
id | pubmed-2311306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23113062008-04-16 OpenMS – An open-source software framework for mass spectrometry Sturm, Marc Bertsch, Andreas Gröpl, Clemens Hildebrandt, Andreas Hussong, Rene Lange, Eva Pfeifer, Nico Schulz-Trieglaff, Ole Zerck, Alexandra Reinert, Knut Kohlbacher, Oliver BMC Bioinformatics Software BACKGROUND: Mass spectrometry is an essential analytical technique for high-throughput analysis in proteomics and metabolomics. The development of new separation techniques, precise mass analyzers and experimental protocols is a very active field of research. This leads to more complex experimental setups yielding ever increasing amounts of data. Consequently, analysis of the data is currently often the bottleneck for experimental studies. Although software tools for many data analysis tasks are available today, they are often hard to combine with each other or not flexible enough to allow for rapid prototyping of a new analysis workflow. RESULTS: We present OpenMS, a software framework for rapid application development in mass spectrometry. OpenMS has been designed to be portable, easy-to-use and robust while offering a rich functionality ranging from basic data structures to sophisticated algorithms for data analysis. This has already been demonstrated in several studies. CONCLUSION: OpenMS is available under the Lesser GNU Public License (LGPL) from the project website at . BioMed Central 2008-03-26 /pmc/articles/PMC2311306/ /pubmed/18366760 http://dx.doi.org/10.1186/1471-2105-9-163 Text en Copyright © 2008 Sturm et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Sturm, Marc Bertsch, Andreas Gröpl, Clemens Hildebrandt, Andreas Hussong, Rene Lange, Eva Pfeifer, Nico Schulz-Trieglaff, Ole Zerck, Alexandra Reinert, Knut Kohlbacher, Oliver OpenMS – An open-source software framework for mass spectrometry |
title | OpenMS – An open-source software framework for mass spectrometry |
title_full | OpenMS – An open-source software framework for mass spectrometry |
title_fullStr | OpenMS – An open-source software framework for mass spectrometry |
title_full_unstemmed | OpenMS – An open-source software framework for mass spectrometry |
title_short | OpenMS – An open-source software framework for mass spectrometry |
title_sort | openms – an open-source software framework for mass spectrometry |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2311306/ https://www.ncbi.nlm.nih.gov/pubmed/18366760 http://dx.doi.org/10.1186/1471-2105-9-163 |
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