Literature DB >> 22583024

TOPPAS: a graphical workflow editor for the analysis of high-throughput proteomics data.

Johannes Junker1, Chris Bielow, Andreas Bertsch, Marc Sturm, Knut Reinert, Oliver Kohlbacher.   

Abstract

Mass spectrometry coupled to high-performance liquid chromatography (HPLC-MS) is evolving more quickly than ever. A wide range of different instrument types and experimental setups are commonly used. Modern instruments acquire huge amounts of data, thus requiring tools for an efficient and automated data analysis. Most existing software for analyzing HPLC-MS data is monolithic and tailored toward a specific application. A more flexible alternative consists of pipeline-based tool kits allowing the construction of custom analysis workflows from small building blocks, e.g., the Trans Proteomics Pipeline (TPP) or The OpenMS Proteomics Pipeline (TOPP). One drawback, however, is the hurdle of setting up complex workflows using command line tools. We present TOPPAS, The OpenMS Proteomics Pipeline ASsistant, a graphical user interface (GUI) for rapid composition of HPLC-MS analysis workflows. Workflow construction reduces to simple drag-and-drop of analysis tools and adding connections in between. Integration of external tools into these workflows is possible as well. Once workflows have been developed, they can be deployed in other workflow management systems or batch processing systems in a fully automated fashion. The implementation is portable and has been tested under Windows, Mac OS X, and Linux. TOPPAS is open-source software and available free of charge at http://www.OpenMS.de/TOPPAS .

Entities:  

Mesh:

Year:  2012        PMID: 22583024     DOI: 10.1021/pr300187f

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  16 in total

1.  Nephron Toxicity Profiling via Untargeted Metabolome Analysis Employing a High Performance Liquid Chromatography-Mass Spectrometry-based Experimental and Computational Pipeline.

Authors:  Christina Ranninger; Marc Rurik; Alice Limonciel; Silke Ruzek; Roland Reischl; Anja Wilmes; Paul Jennings; Philip Hewitt; Wolfgang Dekant; Oliver Kohlbacher; Christian G Huber
Journal:  J Biol Chem       Date:  2015-06-08       Impact factor: 5.157

2.  Primary human chondrocytes respond to compression with phosphoproteomic signatures that include microtubule activation.

Authors:  Donald L Zignego; Jonathan K Hilmer; Brian Bothner; William J Schell; Ronald K June
Journal:  J Biomech       Date:  2019-10-01       Impact factor: 2.712

Review 3.  Algorithms and design strategies towards automated glycoproteomics analysis.

Authors:  Han Hu; Kshitij Khatri; Joseph Zaia
Journal:  Mass Spectrom Rev       Date:  2016-01-04       Impact factor: 10.946

4.  Software Options for the Analysis of MS-Proteomic Data.

Authors:  Avinash Yadav; Federica Marini; Alessandro Cuomo; Tiziana Bonaldi
Journal:  Methods Mol Biol       Date:  2021

5.  Workflows for automated downstream data analysis and visualization in large-scale computational mass spectrometry.

Authors:  Stephan Aiche; Timo Sachsenberg; Erhan Kenar; Mathias Walzer; Bernd Wiswedel; Theresa Kristl; Matthew Boyles; Albert Duschl; Christian G Huber; Michael R Berthold; Knut Reinert; Oliver Kohlbacher
Journal:  Proteomics       Date:  2015-02-14       Impact factor: 3.984

6.  Scientific workflow optimization for improved peptide and protein identification.

Authors:  Sonja Holl; Yassene Mohammed; Olav Zimmermann; Magnus Palmblad
Journal:  BMC Bioinformatics       Date:  2015-09-03       Impact factor: 3.169

7.  Automated label-free quantification of metabolites from liquid chromatography-mass spectrometry data.

Authors:  Erhan Kenar; Holger Franken; Sara Forcisi; Kilian Wörmann; Hans-Ulrich Häring; Rainer Lehmann; Philippe Schmitt-Kopplin; Andreas Zell; Oliver Kohlbacher
Journal:  Mol Cell Proteomics       Date:  2013-10-31       Impact factor: 5.911

8.  From the desktop to the grid: scalable bioinformatics via workflow conversion.

Authors:  Luis de la Garza; Johannes Veit; Andras Szolek; Marc Röttig; Stephan Aiche; Sandra Gesing; Knut Reinert; Oliver Kohlbacher
Journal:  BMC Bioinformatics       Date:  2016-03-12       Impact factor: 3.169

Review 9.  Challenges and Strategies for Proteome Analysis of the Interaction of Human Pathogenic Fungi with Host Immune Cells.

Authors:  Thomas Krüger; Ting Luo; Hella Schmidt; Iordana Shopova; Olaf Kniemeyer
Journal:  Proteomes       Date:  2015-12-14

10.  Dinosaur: A Refined Open-Source Peptide MS Feature Detector.

Authors:  Johan Teleman; Aakash Chawade; Marianne Sandin; Fredrik Levander; Johan Malmström
Journal:  J Proteome Res       Date:  2016-06-08       Impact factor: 4.466

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