Literature DB >> 29659702

Ribopeaks: a web tool for bacterial classification through m/z data from ribosomal proteins.

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.

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Year:  2018        PMID: 29659702     DOI: 10.1093/bioinformatics/bty215

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

1.  Factors Associated With MALDI-TOF Mass Spectral Quality of Species Identification in Clinical Routine Diagnostics.

Authors:  Aline Cuénod; Frédéric Foucault; Valentin Pflüger; Adrian Egli
Journal:  Front Cell Infect Microbiol       Date:  2021-03-16       Impact factor: 5.293

2.  The First Case of Azorhizobium caulinodans Bacteremia in a Patient with Leukemia.

Authors:  Jae Hyeon Park; Taek Soo Kim; Hyunwoong Park
Journal:  Ann Lab Med       Date:  2022-07-01       Impact factor: 4.941

  2 in total

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