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OpenMS: a flexible open-source software platform for mass spectrometry data analysis.

Authors :
Röst HL
Sachsenberg T
Aiche S
Bielow C
Weisser H
Aicheler F
Andreotti S
Ehrlich HC
Gutenbrunner P
Kenar E
Liang X
Nahnsen S
Nilse L
Pfeuffer J
Rosenberger G
Rurik M
Schmitt U
Veit J
Walzer M
Wojnar D
Wolski WE
Schilling O
Choudhary JS
Malmström L
Aebersold R
Reinert K
Kohlbacher O
Source :
Nature methods [Nat Methods] 2016 Aug 30; Vol. 13 (9), pp. 741-8.
Publication Year :
2016

Abstract

High-resolution mass spectrometry (MS) has become an important tool in the life sciences, contributing to the diagnosis and understanding of human diseases, elucidating biomolecular structural information and characterizing cellular signaling networks. However, the rapid growth in the volume and complexity of MS data makes transparent, accurate and reproducible analysis difficult. We present OpenMS 2.0 (http://www.openms.de), a robust, open-source, cross-platform software specifically designed for the flexible and reproducible analysis of high-throughput MS data. The extensible OpenMS software implements common mass spectrometric data processing tasks through a well-defined application programming interface in C++ and Python and through standardized open data formats. OpenMS additionally provides a set of 185 tools and ready-made workflows for common mass spectrometric data processing tasks, which enable users to perform complex quantitative mass spectrometric analyses with ease.

Details

Language :
English
ISSN :
1548-7105
Volume :
13
Issue :
9
Database :
MEDLINE
Journal :
Nature methods
Publication Type :
Academic Journal
Accession number :
27575624
Full Text :
https://doi.org/10.1038/nmeth.3959