Journal
BIOINFORMATICS
Volume 34, Issue 17, Pages 3058-3060Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bty215
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Funding
- Brazilian Program of National Institutes of Science and Technology (INCT-FBN)
- National Council for Scientific and Technological Development (CNPq)
- Coordination for the Improvement of Higher Education Personnel (CAPES)
- Fundacao Araucaria of the Parana State
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The 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.
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