Repository: Freie Universität Berlin, Math Department

TOPP - The OpenMS Proteomics Pipeline

Kohlbacher, O. and Reinert, K. and Gröpl, C. and Lange, E. and Pfeiffer, N. and Schulz-Trieglaff, O. and Sturm, M. (2006) TOPP - The OpenMS Proteomics Pipeline. In: Proceedings of the 5th European Conference on Computational Biology (ECCB 2006).

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Motivation: Experimental techniques in proteomics have seen rapid development over the last few years. Volume and complexity of the data have both been growing at a similar rate. Accordingly, data management and analysis are one of the major challenges in proteomics. Flexible algorithms are required to handle changing experimental setups and to assist in developing and validating new methods. In order to facilitate these studies, it would be desirable to have a flexible `toolbox' of versatile and user-friendly applications allowing for rapid construction of computational workflows in proteomics. Results: We describe a set of tools for proteomics data analysis -- TOPP, The OpenMS Proteomics Pipeline. TOPP provides a set of computational tools which can be easily combined into analysis pipelines even by non-experts and can be used in proteomics workflows. These applications range from useful utilities (file format conversion, peak picking) over wrapper applications for known applications (e.g. Mascot) to completely new algorithmic techniques for data reduction and data analysis. We anticipate that TOPP will greatly facilitate rapid prototyping of proteomics data evaluation pipelines. As such, we describe the basic concepts and the current abilities of TOPP and illustrate these concepts in the context of two example applications: the identification of peptides from a raw data set through database search and the complex analysis of a standard addition experiment for the absolute quantitation of biomarkers. The latter example demonstrates TOPP's ability to construct flexible analysis pipelines in support of complex experimental setups. Availability: The TOPP components are available as open-source software under the lesser GNU public license (LGPL). Source code is available from the project web site at

Item Type:Conference or Workshop Item (UNSPECIFIED)
Subjects:Mathematical and Computer Sciences > Computer Science
Divisions:Department of Mathematics and Computer Science > Institute of Computer Science > Algorithmic Bioinformatics Group
ID Code:375
Deposited By: Admin Administrator
Deposited On:14 Apr 2009 14:25
Last Modified:14 Apr 2009 14:25

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