OpenMS: a flexible open-source software platform for mass spectrometry data analysis.
|Nr||57 (Research article)|
|Authors||Röst, Hannes; Sachsenberg, Timo; Aiche, Stephan; Bielow, Chris; Weisser, Hendrik; Aicheler, Fabian; Andreotti, Sandro; Ehrlich, Hans-Christian; Gutenbrunner, Petra; Kenar, Erhan; Liang, Xiao; Nahnsen, Sven; Nilse, Lars; Pfeuffer, Julianus; Rosenberger, George; Rurik, Marc; Schmitt, Uwe; Veit, Johannes; Walzer, Mathias; Wojnar, David; Wolski, Witold; Schilling, Oliver; Choudhary, Jyoti; Malmström, Lars; Aebersold, Ruedi; Reinert, Knut; Kohlbacher, Oliver|
|Title||OpenMS: a flexible open-source software platform for mass spectrometry data analysis.|
|Journal||Nat Methods (2016) 13 741-8|
|Citations||277 citations (journal impact: 25.06)|
|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 httpwww.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.|