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MSDataStream – Connecting a Bruker Mass Spectrometer to the Internet

dc.contributor.authorZoun, Roman
dc.contributor.authorSchallert, Kay
dc.contributor.authorBroneske, David
dc.contributor.authorFenske, Wolfram
dc.contributor.authorPinnecke, Marcus
dc.contributor.authorHeyer, Robert
dc.contributor.authorBrehmer, Sven
dc.contributor.authorBenndorf, Dirk
dc.contributor.authorSaake, Gunter
dc.contributor.editorGrust, Torsten
dc.contributor.editorNaumann, Felix
dc.contributor.editorBöhm, Alexander
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorHärder, Theo
dc.contributor.editorRahm, Erhard
dc.contributor.editorHeuer, Andreas
dc.contributor.editorKlettke, Meike
dc.contributor.editorMeyer, Holger
dc.date.accessioned2019-04-11T07:21:29Z
dc.date.available2019-04-11T07:21:29Z
dc.date.issued2019
dc.description.abstractMetaproteomics is the biological research of proteins of whole communities comprised of thousands of species using tandem mass spectrometry. But still it follows a sequential non parallelizable workflow. Hence, researchers have to wait for hours or even days until the measurement data are available. In our demo, we show a way to decrease the smallest unit of the workflow to a minimum to realize a near real time stream processing system on a fast data architecture.en
dc.identifier.doi10.18420/btw2019-33
dc.identifier.isbn978-3-88579-683-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21719
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBTW 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) – Proceedings, Volume P-289
dc.subjectInternet of Things
dc.subjectBioinformatics
dc.subjectMass Spectrometry
dc.subjectSMACK Stack
dc.subjectStreaming
dc.titleMSDataStream – Connecting a Bruker Mass Spectrometer to the Interneten
gi.citation.endPage510
gi.citation.startPage507
gi.conference.date4.-8. März 2019
gi.conference.locationRostock
gi.conference.sessiontitleDemonstrationen

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