| Literature DB >> 25660940 |
Thilo Muth1, Alexander Behne, Robert Heyer, Fabian Kohrs, Dirk Benndorf, Marcus Hoffmann, Miro Lehtevä, Udo Reichl, Lennart Martens, Erdmann Rapp.
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: bioinformatics; environmental proteomics; mass spectrometry; metaproteomics; microbial communities; software
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Year: 2015 PMID: 25660940 DOI: 10.1021/pr501246w
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466