| Literature DB >> 29659702 |
Douglas Tomachewski1,2, Carolina Weigert Galvão2, Arion de Campos Júnior1, Alaine Margarete Guimarães1, José Carlos Ferreira da Rocha1, Rafael Mazer Etto1,2.
Abstract
Summary: MALDI-TOF MS is a rapid, sensitive and economic tool for bacterial identification. Highly abundant bacterial proteins are detected by this technique, including ribosomal proteins (r-protein), and the generated mass spectra are compared with a MALDI-TOF MS spectra database. Currently, it allows mainly the classification of clinical bacteria due to the limited number of environmental bacteria included in the spectra database. We present a wide-ranging bacterium classifier tool, called Ribopeaks, which was created based on r-protein data from the Genbank. The Ribopeaks database has more than 28 500 bacterial taxonomic records. It compares the incoming m/z data from MALDI-TOF MS analysis with models stored in the Ribopeaks database created by machine learning and then taxonomically classifies the bacteria. Availability and implementation: The software is available at http://www.ribopeaks.com. Supplementary information: Supplementary data are available at Bioinformatics online.Mesh:
Substances:
Year: 2018 PMID: 29659702 DOI: 10.1093/bioinformatics/bty215
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937