Document Detail


OpenMS and TOPP: open source software for LC-MS data analysis.
MedLine Citation:
PMID:  21063960     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Proteomics experiments based on state-of-the-art mass spectrometry produce vast amounts of data, which cannot be analyzed manually. Hence, software is needed which is able to analyze the data in an automated fashion. The need for robust and reusable software tools triggered the development of libraries implementing different algorithms for the various analysis steps. OpenMS is such a software library and provides a wealth of data structures and algorithms for the analysis of mass spectrometric data. For users unfamiliar with programming, TOPP ("The OpenMS Proteomics Pipeline") offers a wide range of already implemented tools sharing the same interface and designed for a specific analysis task each. TOPP thus makes the sophisticated algorithms of OpenMS accessible to nonprogrammers. The individual TOPP tools can be strung together into pipelines for analyzing mass spectrometry-based experiments starting from the raw output of the mass spectrometer. These analysis pipelines can be constructed using a graphical editor. Even complex analytical workflows can thus be analyzed with ease.
Authors:
Andreas Bertsch; Clemens Gröpl; Knut Reinert; Oliver Kohlbacher
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Methods in molecular biology (Clifton, N.J.)     Volume:  696     ISSN:  1940-6029     ISO Abbreviation:  Methods Mol. Biol.     Publication Date:  2011  
Date Detail:
Created Date:  2010-11-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214969     Medline TA:  Methods Mol Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  353-67     Citation Subset:  IM    
Affiliation:
Division for Simulation of Biological Systems, WSI/ZBIT, Eberhard-Karls-Universität Tübingen, Tübingen, Germany.
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