Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Arion de Campos Júnior

dblp:226/5060 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
MALDI-TOF mass spectrometry
0.312018
Ribopeaks: a web tool for bacterial classification through m/z data from ribosomal proteins · Bioinform. 2018

Methods — techniques the papers use, named apart from their topics

machine learning · 0.3
YearPublicationVenuePosition
2018 Ribopeaks: a web tool for bacterial classification through m/z data from ribosomal proteins
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.
Douglas Tomachewski, Carolina Weigert Galvão, Arion de Campos Júnior, Alaine Margarete Guimarães, José Carlos Ferreira da Rocha, Rafael Mazer Etto
Bioinform.3