A Maldi-Tof Mass Spectrometry Database For Identification And Classification Of Highly Pathogenic Microorganisms From The Robert Koch-Institute (Rki)

Dataset OPEN
Lasch, Peter ; Stämmler, Maren ; Schneider, Andy
  • Publisher: Zenodo
  • Related identifiers: doi: 10.5281/zenodo.163517
  • Subject: MALDI TOF Mass Spectrometry, Highly Pathogenic Microorganisms, Spectral Database, Identification

<p><em>(Version 20161027) </em></p> <p> </p> <p><strong><em>Edit May 23, 2017: New database version (v.2 - 20170523) - available</em>: http://doi.org/10.5281/zenodo.582602</strong></p> <p> </p> <p>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 <em>Bacillus anthracis</em>, <em>Yersinia pestis</em>, <em>Burkholderia mallei</em>, <em>Burkholderia pseudomallei</em> and <em>Francisella tularensis</em> 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!)</p> <p>The pkf-file (161027_zenodo_Peaklist_(30Peaks1,6).pkf ) contains <em>so-called</em> 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.</p> <p>For the future it is intended to update the RKI database of MALDI-TOF mass spectra on a regular basis.</p> <p>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.</p> <ul> <li>Wolfgang Beyer - University of Hohenheim, Faculty of Agricultural Sciences, Stuttgart, Germany</li> <li>Guido Werner - Robert Koch-Institute, <em> Nosocomial Pathogens and Antibiotic Resistances</em> (FG13), Wernigerode, Germany</li> <li>Alejandra Bosch - CINDEFI, CONICET-CCT La Plata, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina</li> <li>Michal Drevinek - National Institute for Nuclear, Biological and Chemical Protection, Milin, Czech Republic</li> <li>Roland Grunow - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li>Daniela Jacob - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li>Silke Klee - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li>Jörg Rau - Chemisches und Veterinäruntersuchungsamt Stuttgart, Fellbach, Germany</li> <li>Jens Jacob - Robert Koch-Institute, <em>Hospital Hygiene, Infection Prevention and Control </em>(FG14), Berlin, Germany</li> <li>Martin Mielke - Robert Koch-Institute, <em>Department 1 - Infectious Diseases</em>, Berlin, Germany</li> <li>Monika Ehling-Schulz - Functional Microbiology, Institute of Microbiology, University of Veterinary Medicine, Vienna, Austria</li> </ul> <p> </p>
Share - Bookmark

  • Download from
    Zenodo via Zenodo (Dataset)
  • Cite this research data