Muth Thilo, Behne Alexander, Heyer Robert, Kohrs Fabian, Benndorf Dirk, Hoffmann Marcus, Lehtevä Miro, Reichl Udo, Martens Lennart, Rapp Erdmann
Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Germany.
J Proteome Res. 2015 Mar 6;14(3):1557-65. doi: 10.1021/pr501246w. Epub 2015 Feb 23.
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.
基于质谱的宏蛋白质组学面临的巨大挑战主要与所采集数据的分析和解读有关。这包括质谱的可靠鉴定以及从包含数百种未知物种的样本中对分类学和功能元信息进行有意义的整合。为了缓解这些困难，我们开发了一套专用软件套件——MetaProteomeAnalyzer，这是一个用于宏蛋白质组学数据分析和解读的直观开源工具，它包括多个搜索引擎以及通过将蛋白质匹配结果分组为所谓的元蛋白质来减少数据冗余的功能。我们还为MetaProteomeAnalyzer设计了一个图形数据库后端，以便对结果进行无缝分析。使用从沼气厂采集的微生物群落样本展示了MetaProteomeAnalyzer的功能。
