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| A mass spectrometer is a device to extract biomarkers of biological environments. Using these biomarkers it is possible to diagnose thousands of diseases with only one mass spectrometer. Unfortunately the mass spectrometry pipeline is sequential including hours of waiting time between the workflow steps. Additionally the data analysis is complex and needs qualified employees and a stable infrastructure which involves very high costs and effort. Hence only few hospitals use a mass spectrometer for diagnostics with success. In our work we present a proof of concept of an analytical platform for real-time analysis of mass spectrometry experiments. In collaboration with Bruker Daltonik GmbH we implemented MStream a cloud-based platform on the SMACK stack (Spark Mesos Akka Cassandra Kafka) for scalable streamlined protein identification. Our evaluation shows superior performance in comparison to the state-of-the-art X!Tandem software package. Additionally we minimize the effort of the hospital by allowing the full analysis pipeline to be outsourced to our cloud platform. |
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