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dc.contributor.authorFarag, Yehia Mokhtar
dc.contributor.authorHorro Marcos, Carlos
dc.contributor.authorVaudel, Marc
dc.contributor.authorBarsnes, Harald
dc.description.abstractMass spectrometry-based proteomics is a high-throughput technology generating ever-larger amounts of data per project. However, storing, processing, and interpreting these data can be a challenge. A key element in simplifying this process is the development of interactive frameworks focusing on visualization that can greatly simplify both the interpretation of data and the generation of new knowledge. Here we present PeptideShaker Online, a user-friendly web-based framework for the identification of mass spectrometry-based proteomics data, from raw file conversion to interactive visualization of the resulting data. Storage and processing of the data are performed via the versatile Galaxy platform (through SearchGUI, PeptideShaker, and moFF), while the interaction with the results happens via a locally installed web server, thus enabling researchers to process and interpret their own data without requiring advanced bioinformatics skills or direct access to compute-intensive infrastructures. The source code, additional documentation, and a fully functional demo is available at
dc.publisherAmerican Chemical Societyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titlePeptideShaker Online: A User-Friendly Web-Based Framework for the Identification of Mass Spectrometry-Based Proteomics Dataen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holderCopyright 2021 The Authorsen_US
dc.source.journalJournal of Proteome Researchen_US
dc.identifier.citationJournal of Proteome Research, 2021.en_US

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal