Your browser doesn't support javascript.
loading
Ribopeaks: a web tool for bacterial classification through m/z data from ribosomal proteins.
Tomachewski, Douglas; Galvão, Carolina Weigert; de Campos Júnior, Arion; Guimarães, Alaine Margarete; Ferreira da Rocha, José Carlos; Etto, Rafael Mazer.
Afiliación
  • Tomachewski D; Postgraduate Program in Applied Computing, Department of Computer Science, State University of Ponta Grossa, PR, Brazil.
  • Galvão CW; Microbial Molecular Biology Laboratory, Sector of Biological and Health Sciences, State University of Ponta Grossa, PR, Brazil.
  • de Campos Júnior A; Microbial Molecular Biology Laboratory, Sector of Biological and Health Sciences, State University of Ponta Grossa, PR, Brazil.
  • Guimarães AM; Postgraduate Program in Applied Computing, Department of Computer Science, State University of Ponta Grossa, PR, Brazil.
  • Ferreira da Rocha JC; Postgraduate Program in Applied Computing, Department of Computer Science, State University of Ponta Grossa, PR, Brazil.
  • Etto RM; Postgraduate Program in Applied Computing, Department of Computer Science, State University of Ponta Grossa, PR, Brazil.
Bioinformatics ; 34(17): 3058-3060, 2018 09 01.
Article en En | MEDLINE | ID: mdl-29659702
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Ribosómicas / Bacterias / Proteínas Bacterianas Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Ribosómicas / Bacterias / Proteínas Bacterianas Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido