EDBT 2026 Demo / reviewers in the wild / expert
Arion de Campos Júnior
dblp:226/5060
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
MALDI-TOF mass spectrometry |
0.3 | 1 | 2018 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Ribopeaks: a web tool for bacterial classification through m/z data from ribosomal proteinsabstractSummary: 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 |