Dataset Open Access
Lasch, Peter;
Stämmler, Maren;
Schneider, Andy
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Lasch, Peter</dc:creator> <dc:creator>Stämmler, Maren</dc:creator> <dc:creator>Schneider, Andy</dc:creator> <dc:date>2016-10-27</dc:date> <dc:description>(Version 20161027) Edit #1 (May 23, 2017): New database version (v.2 - 20170523) - available: 10.5281/zenodo.582602 Edit #2 (Nov 30, 2018): New database version (v.3 - 20181130) - available: 10.5281/zenodo.1880975 The Robert Koch-Institute (RKI) database of microbial MALDI-TOF mass spectra contains mass spectral entries from highly pathogenic (biosafety level 3, BSL-3) bacteria such as Bacillus anthracis, Yersinia pestis, Burkholderia mallei, Burkholderia pseudomallei and Francisella tularensis as well as a selection of spectra from their close and more distant relatives. The RKI mass spectral database can be used as a reference for the diagnostics of BSL-3 bacteria using proprietary and free software packages for MALDI-TOF MS-based microbial identification. The database itself is distributed as a zip archive that contains the original mass spectra in its native data format (Bruker Daltonics). Please refer to the pdf file (161027-ZENODO-Metadata.pdf) to obtain information on the metadata of the spectra. Do not try to print this document (~1000 pages!) The pkf-file (161027_zenodo_Peaklist_(30Peaks1,6).pkf ) contains so-called database spectra in a Matlab compatible format. The latter data file can be imported into MicrobeMS, a Matlab-based free-of-charge software solution developed at the RKI. MicrobeMS is available from http://www.microbe-ms.com. For the future it is intended to update the RKI database of MALDI-TOF mass spectra on a regular basis. The author's grateful thanks are given to the following persons for providing microbial strains and species. Without their help this work would not be possible. Wolfgang Beyer - University of Hohenheim, Faculty of Agricultural Sciences, Stuttgart, Germany Guido Werner - Robert Koch-Institute, Nosocomial Pathogens and Antibiotic Resistances (FG13), Wernigerode, Germany Alejandra Bosch - CINDEFI, CONICET-CCT La Plata, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina Michal Drevinek - National Institute for Nuclear, Biological and Chemical Protection, Milin, Czech Republic Roland Grunow - Robert Koch-Institute, Highly Pathogenic Microorganisms (ZBS2), Berlin, Germany Daniela Jacob - Robert Koch-Institute, Highly Pathogenic Microorganisms (ZBS2), Berlin, Germany Silke Klee - Robert Koch-Institute, Highly Pathogenic Microorganisms (ZBS2), Berlin, Germany Jörg Rau - Chemisches und Veterinäruntersuchungsamt Stuttgart, Fellbach, Germany Jens Jacob - Robert Koch-Institute, Hospital Hygiene, Infection Prevention and Control (FG14), Berlin, Germany Martin Mielke - Robert Koch-Institute, Department 1 - Infectious Diseases, Berlin, Germany Monika Ehling-Schulz - Functional Microbiology, Institute of Microbiology, University of Veterinary Medicine, Vienna, Austria </dc:description> <dc:identifier>https://zenodo.org/record/163517</dc:identifier> <dc:identifier>10.5281/zenodo.163517</dc:identifier> <dc:identifier>oai:zenodo.org:163517</dc:identifier> <dc:relation>doi:10.1021/ac701822j</dc:relation> <dc:relation>doi:10.1128/AEM.00857-09</dc:relation> <dc:relation>doi:10.1021/ac101036s</dc:relation> <dc:relation>doi:10.1039/b822669e</dc:relation> <dc:relation>doi:10.1016/j.mimet.2014.02.015</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>http://creativecommons.org/licenses/by-nc/4.0/legalcode</dc:rights> <dc:subject>MALDI TOF Mass Spectrometry, Highly Pathogenic Microorganisms, Spectral Database, Identification</dc:subject> <dc:title>A MALDI-TOF Mass Spectrometry Database for Identification and Classification of Highly Pathogenic Microorganisms from the Robert Koch-Institute (RKI)</dc:title> <dc:type>info:eu-repo/semantics/other</dc:type> <dc:type>dataset</dc:type> </oai_dc:dc>
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