Advanced search
1 file | 1.33 MB

The MetaProteomeAnalyzer : a powerful open-source software suite for metaproteomics data analysis and interpretation

(2015) JOURNAL OF PROTEOME RESEARCH. 14(3). p.1557-1565
Author
Organization
Project
Bioinformatics: from nucleotids to networks (N2N)
Abstract
The enormous challenges of mass spectrometry-based metaproteomics are primarily related to the analysis and interpretation of the acquired data. This includes reliable identification of mass spectra and the meaningful integration of taxonomic and functional meta-information from samples containing hundreds of unknown species. To ease these difficulties, we developed a dedicated software suite, the MetaProteomeAnalyzer, an intuitive open-source tool for metaproteomics data analysis and interpretation, which includes multiple search engines and the feature to decrease data redundancy by grouping protein hits to so-called meta-proteins. We also designed a graph database back-end for the MetaProteomeAnalyzer to allow seamless analysis of results. The functionality of the MetaProteomeAnalyzer is demonstrated using a sample of a microbial community taken from a biogas plant.
Keywords
SEQUENCE, ECOLOGY, ALGORITHM, PEPTIDES, PROTEOMICS, SPECTROMETRY, IDENTIFICATION, PROTEIN INFERENCE, MICROBIAL COMMUNITIES, TANDEM MASS-SPECTRA, microbial communities, software, metaproteomics, mass spectrometry, environmental proteomics, bioinformatics

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.33 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Muth, Thilo, Alexander Behne, Robert Heyer, Fabian Kohrs, Dirk Benndorf, Marcus Hoffmann, Miro Lehteva, Udo Reichl, Lennart Martens, and Erdmann Rapp. 2015. “The MetaProteomeAnalyzer : a Powerful Open-source Software Suite for Metaproteomics Data Analysis and Interpretation.” Journal of Proteome Research 14 (3): 1557–1565.
APA
Muth, T., Behne, A., Heyer, R., Kohrs, F., Benndorf, D., Hoffmann, M., Lehteva, M., et al. (2015). The MetaProteomeAnalyzer : a powerful open-source software suite for metaproteomics data analysis and interpretation. JOURNAL OF PROTEOME RESEARCH, 14(3), 1557–1565.
Vancouver
1.
Muth T, Behne A, Heyer R, Kohrs F, Benndorf D, Hoffmann M, et al. The MetaProteomeAnalyzer : a powerful open-source software suite for metaproteomics data analysis and interpretation. JOURNAL OF PROTEOME RESEARCH. 2015;14(3):1557–65.
MLA
Muth, Thilo, Alexander Behne, Robert Heyer, et al. “The MetaProteomeAnalyzer : a Powerful Open-source Software Suite for Metaproteomics Data Analysis and Interpretation.” JOURNAL OF PROTEOME RESEARCH 14.3 (2015): 1557–1565. Print.
@article{6896502,
  abstract     = {The enormous challenges of mass spectrometry-based metaproteomics are primarily related to the analysis and interpretation of the acquired data. This includes reliable identification of mass spectra and the meaningful integration of taxonomic and functional meta-information from samples containing hundreds of unknown species. To ease these difficulties, we developed a dedicated software suite, the MetaProteomeAnalyzer, an intuitive open-source tool for metaproteomics data analysis and interpretation, which includes multiple search engines and the feature to decrease data redundancy by grouping protein hits to so-called meta-proteins. We also designed a graph database back-end for the MetaProteomeAnalyzer to allow seamless analysis of results. The functionality of the MetaProteomeAnalyzer is demonstrated using a sample of a microbial community taken from a biogas plant.},
  author       = {Muth, Thilo and Behne, Alexander and Heyer, Robert and Kohrs, Fabian and Benndorf, Dirk and Hoffmann, Marcus and Lehteva, Miro and Reichl, Udo and Martens, Lennart and Rapp, Erdmann},
  issn         = {1535-3893},
  journal      = {JOURNAL OF PROTEOME RESEARCH},
  keyword      = {SEQUENCE,ECOLOGY,ALGORITHM,PEPTIDES,PROTEOMICS,SPECTROMETRY,IDENTIFICATION,PROTEIN INFERENCE,MICROBIAL COMMUNITIES,TANDEM MASS-SPECTRA,microbial communities,software,metaproteomics,mass spectrometry,environmental proteomics,bioinformatics},
  language     = {eng},
  number       = {3},
  pages        = {1557--1565},
  title        = {The MetaProteomeAnalyzer : a powerful open-source software suite for metaproteomics data analysis and interpretation},
  url          = {http://dx.doi.org/10.1021/pr501246w},
  volume       = {14},
  year         = {2015},
}

Altmetric
View in Altmetric
Web of Science
Times cited: