Workflows for automated downstream data analysis and visualization in large‐scale computational mass spectrometry-Reference-Cited by-同舟云学术

Workflows for automated downstream data analysis and visualization in large‐scale computational mass spectrometry

Published:2015-02-14 Issue:8 Volume:15 Page:1443-1447
ISSN:1615-9853
Container-title:PROTEOMICS
language:en
Short-container-title:Proteomics

Author:

Aiche Stephan¹,Sachsenberg Timo²³⁴,Kenar Erhan³,Walzer Mathias²³⁴,Wiswedel Bernd⁵,Kristl Theresa⁶,Boyles Matthew⁷,Duschl Albert⁷,Huber Christian G.⁶,Berthold Michael R.⁸,Reinert Knut¹,Kohlbacher Oliver²³⁴

Affiliation:

1. Department of Mathematics and Computer Science Freie Universität Berlin Berlin Germany

2. Applied Bioinformatics Center for Bioinformatics University of Tübingen Tübingen Germany

3. Quantitative Biology Center University of Tübingen Tübingen Germany

4. Department of Computer Science University of Tübingen Tübingen Germany

5. KNIME.com AG Zurich Switzerland

6. Department of Molecular Biology Division of Chemistry and Bioanalytics University of Salzburg Salzburg Austria

7. Department of Molecular Biology Division of Allergy and Immunology University of Salzburg Salzburg Austria

8. Chair for Bioinformatics and Information Mining Department of Computer and Information Science University of Konstanz Konstanz Germany

Funder

European Union's Seventh Framework Programme

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pmic.201400391

Reference16 articles.

1. TOPP--the OpenMS proteomics pipeline

2. OpenMS – An open-source software framework for mass spectrometry

3. Probability-based protein identification by searching sequence databases using mass spectrometry data

4. Open Mass Spectrometry Search Algorithm

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