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MPA Portable: A Stand-Alone Software Package for Analyzing Metaproteome Samples on the Go.
Muth, Thilo; Kohrs, Fabian; Heyer, Robert; Benndorf, Dirk; Rapp, Erdmann; Reichl, Udo; Martens, Lennart; Renard, Bernhard Y.
Afiliação
  • Muth T; Bioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute , 13353 Berlin, Germany.
  • Kohrs F; Bioprocess Engineering, Otto von Guericke University Magdeburg , 39106 Magdeburg, Germany.
  • Heyer R; Bioprocess Engineering, Otto von Guericke University Magdeburg , 39106 Magdeburg, Germany.
  • Benndorf D; Bioprocess Engineering, Otto von Guericke University Magdeburg , 39106 Magdeburg, Germany.
  • Rapp E; Max Planck Institute for Dynamics of Complex Technical Systems , Bioprocess Engineering, 39106 Magdeburg, Germany.
  • Reichl U; Max Planck Institute for Dynamics of Complex Technical Systems , Bioprocess Engineering, 39106 Magdeburg, Germany.
  • Martens L; Bioprocess Engineering, Otto von Guericke University Magdeburg , 39106 Magdeburg, Germany.
  • Renard BY; Max Planck Institute for Dynamics of Complex Technical Systems , Bioprocess Engineering, 39106 Magdeburg, Germany.
Anal Chem ; 90(1): 685-689, 2018 01 02.
Article em En | MEDLINE | ID: mdl-29215871
ABSTRACT
Metaproteomics, the mass spectrometry-based analysis of proteins from multispecies samples faces severe challenges concerning data analysis and results interpretation. To overcome these shortcomings, we here introduce the MetaProteomeAnalyzer (MPA) Portable software. In contrast to the original server-based MPA application, this newly developed tool no longer requires computational expertise for installation and is now independent of any relational database system. In addition, MPA Portable now supports state-of-the-art database search engines and a convenient command line interface for high-performance data processing tasks. While search engine results can easily be combined to increase the protein identification yield, an additional two-step workflow is implemented to provide sufficient analysis resolution for further postprocessing steps, such as protein grouping as well as taxonomic and functional annotation. Our new application has been developed with a focus on intuitive usability, adherence to data standards, and adaptation to Web-based workflow platforms. The open source software package can be found at https//github.com/compomics/meta-proteome-analyzer .
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteoma / Proteômica Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteoma / Proteômica Idioma: En Ano de publicação: 2018 Tipo de documento: Article