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PLoS MEDICINE Automated DNA Sequence-Based Early Warning System for the Detection of Methicillin- Resistant Staphylococcus aureus Outbreaks 1 1 ¨ 2 ¨ ¨ 3 1 2 Alexander Mellmann , Alexander W. Friedrich , Nicole Rosenkotter , Jorg Rothganger , Helge Karch , Ralf Reintjes , 4* Dag Harmsen ¨ ¨ ¨ 1 Institute for Hygiene, University Hospital Munster, Munster, Germany, 2 Hamburg University of Applied Sciences, Hamburg, Germany, 3 Ridom GmbH, Wurzburg, Germany, ¨ ¨ 4 Department of Periodontology, University Hospital Munster, Munster, Germany Competing Interests: JR, HK, and A B S T R A C T DH have declared a potential conflict of interest. JR and DH are the developers of the Ridom StaphType Background software mentioned in the manuscript. The software is The detection of methicillin-resistant Staphylococcus aureus (MRSA) usually requires the distributed and sold by the company implementation of often rigorous infection-control measures. Prompt identification of an MRSA Ridom GmbH that is partially owned by them. HK is a scientific advisor of epidemic is crucial for the control of an outbreak. In this study we evaluated various early this company. All other authors have warning algorithms for the detection of an MRSA cluster. declared that no competing interests exist. Author