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          Institute: MPI für Entwicklungsbiologie     Collection: Abteilung 1 - Protein Evolution (A. Lupas)     Display Documents



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ID: 733220.0, MPI für Entwicklungsbiologie / Abteilung 1 - Protein Evolution (A. Lupas)
OpenMS: a flexible open-source software platform for mass spectrometry data analysis
Authors:Rost, H. L.; Sachsenberg, T.; Aiche, S.; Bielow, C.; Weisser, H.; Aicheler, F.; Andreotti, S.; Ehrlich, H. C.; 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, W. E.; Schilling, O.; Choudhary, J. S.; Malmstrom, L.; Aebersold, R.; Reinert, K.; Kohlbacher, O.
Date of Publication (YYYY-MM-DD):2016-08-30
Title of Journal:Nat Methods
Volume:13
Issue / Number:9
Start Page:741
End Page:748
Review Status:Internal review
Audience:Not Specified
Abstract / Description: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.
External Publication Status:published
Document Type:Article
Affiliations:MPI für Entwicklungsbiologie/Abteilung 1 - Proteinevolution (Andrei Lupas)
External Affiliations:Department of Genetics, Stanford University, Stanford, California, USA. Department of Computer Science, University of Tubingen, Tubingen, Germany. Center for Bioinformatics, University of Tubingen, Tubingen, Germany. Department of Mathematics and Computer Science, Freie Universitat Berlin, Berlin, Germany. Berlin Institute for Medical Systems Biology, Max-Delbruck-Center for Molecular Medicine, Berlin, Germany. Metabolomics Core Facility, Berlin Institute of Health, Berlin, Germany. Proteomic Mass Spectrometry, Wellcome Trust Sanger Institute, Hinxton, UK. Quantitative Biology Center, University of Tubingen, Tubingen, Germany. International Max Planck Research School for Computational Biology and Scientific Computing (IMPRS-CBSC), Berlin, Germany. Institute of Molecular Medicine and Cell Research, University of Freiburg, Freiburg, Germany. ID Scientific IT Services, ETH Zurich, Zurich, Switzerland. Functional Genomics Center Zurich, ETH Zurich, Zurich, Switzerland. BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany. S3IT, University of Zurich, Zurich, Switzerland. Faculty of Science, University of Zurich, Zurich, Switzerland. Max Planck Institute for Molecular Genetics, Berlin, Germany. Faculty of Medicine, University of Tubingen, Tubingen, Germany. Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tubingen, Germany.
Identifiers:ISSN:1548-7105 (Electronic) 1548-7091 (Linking) %R 10.1... [ID No:1]
URL:https://www.ncbi.nlm.nih.gov/pubmed/27575624 [ID No:2]
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