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2017-12-07Zeitschriftenartikel DOI: 10.1021/acs.analchem.7b03544
MPA Portable: A Stand-Alone Software Package for Analyzing Metaproteome Samples on the Go
dc.contributor.authorMuth, Thilo
dc.contributor.authorKohrs, Fabian
dc.contributor.authorHeyer, Robert
dc.contributor.authorBenndorf, Dirk
dc.contributor.authorRapp, Erdmann
dc.contributor.authorReichl, Udo
dc.contributor.authorMartens, Lennart
dc.contributor.authorRenard, Bernhard Y.
dc.date.accessioned2018-05-07T21:07:22Z
dc.date.available2018-05-07T21:07:22Z
dc.date.created2018-02-19
dc.date.issued2017-12-07none
dc.identifier.otherhttp://edoc.rki.de/oa/articles/repoccmjBxtxY/PDF/23pSEC7yz4gc.pdf
dc.identifier.urihttp://edoc.rki.de/176904/2994
dc.description.abstractMetaproteomics, 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-theart database search engines and a convenient command line interface for highperformance 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-proteomeanalyzer.eng
dc.language.isoeng
dc.publisherRobert Koch-Institut
dc.subject.ddc610 Medizin
dc.titleMPA Portable: A Stand-Alone Software Package for Analyzing Metaproteome Samples on the Go
dc.typeperiodicalPart
dc.identifier.urnurn:nbn:de:0257-10057625
dc.identifier.doi10.1021/acs.analchem.7b03544
dc.identifier.doihttp://dx.doi.org/10.25646/2919
local.edoc.container-titleAnalytical Chemistry
local.edoc.fp-subtypeArtikel
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttps://pubs.acs.org/doi/10.1021/acs.analchem.7b03544
local.edoc.container-publisher-nameACS Publications
local.edoc.container-volume90
local.edoc.container-issue1
local.edoc.container-year2018

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