Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10145
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dc.contributor.authorAllmer, Jens-
dc.date.accessioned2021-01-24T18:32:33Z-
dc.date.available2021-01-24T18:32:33Z-
dc.date.issued2012-
dc.identifier.issn2182-0287-
dc.identifier.urihttps://doi.org/10.5584/jiomics.v2i2.113-
dc.identifier.urihttps://hdl.handle.net/11147/10145-
dc.description.abstractProteomics is a quickly developing field. New and better mass spectrometers, the platform of choice in proteomics, are being introduced frequently. New algorithms for the analysis of mass spectrometric data and assignment of amino acid sequence to tandem mass spectra are also presented on a frequent basis. Unfortunately, the best application area for these algorithms cannot be established at the moment. Furthermore, even the accuracy of the algorithms and their relative performance cannot be established. This is due to the lack of proper benchmark data. This letter first introduces the field of mass spectrometry-based proteomics and then defines the expectations of a well-designed benchmark dataset. Thereafter, the current situation is compared to this ideal. A call for the creation of a proper benchmark dataset is then placed and it is explained how measurement should be performed. Finally, the benefits for the research community are highlighted. © 2012, Proteomass Scientific Society. All rights reserved.en_US
dc.description.sponsorship6is work was in part supported by an award received from the Turkish Academy of Sciencesen_US
dc.language.isoenen_US
dc.publisherProteomass Scientific Societyen_US
dc.relation.ispartofJournal of Integrated OMICSen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBenchmark dataen_US
dc.subjectDatabase searchen_US
dc.subjectDe novo sequencingen_US
dc.subjectFragmentation analysisen_US
dc.subjectMass spectrometryen_US
dc.subjectProteomicsen_US
dc.titleA call for benchmark data in mass spectrometry-based proteomicsen_US
dc.typeLetteren_US
dc.institutionauthorAllmer, Jens-
dc.departmentİzmir Institute of Technology. Molecular Biology and Geneticsen_US
dc.identifier.volume2en_US
dc.identifier.issue2en_US
dc.identifier.startpage1en_US
dc.identifier.endpage5en_US
dc.identifier.scopus2-s2.0-84892629487en_US
dc.relation.publicationcategoryDiğeren_US
dc.identifier.doi10.5584/jiomics.v2i2.113-
dc.relation.doi10.5584/jiomics.v2i2.113en_US
dc.coverage.doi10.5584/jiomics.v2i2.113en_US
dc.identifier.scopusqualityQ4-
item.openairetypeLetter-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept04.03. Department of Molecular Biology and Genetics-
Appears in Collections:Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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