Demo Data from VLDB 2026 / reviewers in the wild / expert
Luiz Carlos Júnior Alcântara
dblp:72/7243 · also Luiz Carlos Alcantara
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3
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
3 papers |
Bioinformatics and computational biology · 91% Medical and health informatics · 9% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genomics |
0.4 | 1 | 2020 | Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes · Bioinform. 2020 |
Bioinformatics and computational biology › genomics › viral genomics
viral genome analysis |
0.4 | 1 | 2020 | Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes · Bioinform. 2020 |
Bioinformatics and computational biology › genomics › viral genomics
viral genome assembly |
0.4 | 1 | 2019 | Genome Detective: an automated system for virus identification from high-throughput sequencing data · Bioinform. 2019 |
Medical and health informatics
clinical informatics |
0.2 | 1 | 2013 | RegaDB: community-driven data management and analysis for infectious diseases · Bioinform. 2013 |
Bioinformatics and computational biology
phylogenetics |
0.1 | 1 | 2020 | Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes · Bioinform. 2020 |
Bioinformatics and computational biology › phylogenetics › phylogenetic tree analysis
phylogenetic clustering |
0.1 | 1 | 2020 | Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes · Bioinform. 2020 |
Bioinformatics and computational biology › genomics › viral genomics
viral genotyping |
0.1 | 1 | 2020 | Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes · Bioinform. 2020 |
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
de novo assembly |
0.1 | 1 | 2019 | Genome Detective: an automated system for virus identification from high-throughput sequencing data · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
phylogenetic analysis · 0.4next-generation sequencing assembly · 0.4de novo assembly · 0.4alignment · 0.4web-service-oriented architecture · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomesabstractSUMMARY: Genome detective is a web-based, user-friendly software application to quickly and accurately assemble all known virus genomes from next-generation sequencing datasets. This application allows the identification of phylogenetic clusters and genotypes from assembled genomes in FASTA format. Since its release in 2019, we have produced a number of typing tools for emergent viruses that have caused large outbreaks, such as Zika and Yellow Fever Virus in Brazil. Here, we present the Genome Detective Coronavirus Typing Tool that can accurately identify the novel severe acute respiratory syndrome (SARS)-related coronavirus (SARS-CoV-2) sequences isolated in China and around the world. The tool can accept up to 2000 sequences per submission and the analysis of a new whole-genome sequence will take approximately 1 min. The tool has been tested and validated with hundreds of whole genomes from 10 coronavirus species, and correctly classified all of the SARS-related coronavirus (SARSr-CoV) and all of the available public data for SARS-CoV-2. The tool also allows tracking of new viral mutations as the outbreak expands globally, which may help to accelerate the development of novel diagnostics, drugs and vaccines to stop the COVID-19 disease. AVAILABILITY AND IMPLEMENTATION: https://www.genomedetective.com/app/typingtool/cov. CONTACT: [email protected] or [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Sara Cleemput, Wim Dumon, Vagner Fonseca, Wasim Abdool Karim, Marta Giovanetti, Luiz Carlos Júnior Alcântara, Koen Deforche, Tulio de Oliveira |
Bioinform. | 6 |
| 2019 | Genome Detective: an automated system for virus identification from high-throughput sequencing dataabstractSUMMARY: Genome Detective is an easy to use web-based software application that assembles the genomes of viruses quickly and accurately. The application uses a novel alignment method that constructs genomes by reference-based linking of de novo contigs by combining amino-acids and nucleotide scores. The software was optimized using synthetic datasets to represent the great diversity of virus genomes. The application was then validated with next generation sequencing data of hundreds of viruses. User time is minimal and it is limited to the time required to upload the data. AVAILABILITY AND IMPLEMENTATION: Available online: http://www.genomedetective.com/app/typingtool/virus/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Michael Vilsker, Yumna Moosa, Sam Nooij, Vagner Fonseca, Yoika Ghysens, Korneel Dumon, Raf Pauwels, Luiz Carlos Júnior Alcântara, Ewout Vanden Eynden, Anne-Mieke Vandamme, Koen Deforche, Tulio de Oliveira |
Bioinform. | 8 |
| 2013 | RegaDB: community-driven data management and analysis for infectious diseasesabstractSUMMARY: RegaDB is a free and open source data management and analysis environment for infectious diseases. RegaDB allows clinicians to store, manage and analyse patient data, including viral genetic sequences. Moreover, RegaDB provides researchers with a mechanism to collect data in a uniform format and offers them a canvas to make newly developed bioinformatics tools available to clinicians and virologists through a user friendly interface. AVAILABILITY AND IMPLEMENTATION: Source code, binaries and documentation are available on http://rega.kuleuven.be/cev/regadb. RegaDB is written in the Java programming language, using a web-service-oriented architecture. Pieter Libin, Gertjan Beheydt, Koen Deforche, Stijn Imbrechts, Fossie Ferreira, Kristel Van Laethem, Kristof Theys, Ana Patricia Carvalho, Joana Cavaco-Silva, Giuseppe Lapadula, Carlo Torti, Matthias Assel, Stefan Wesner, Joke Snoeck, Jean Ruelle, Annelies De Bel, Patrick Lacor, Paul De Munter, Eric Van Wijngaerden, Maurizio Zazzi, Rolf Kaiser, Ahidjo Ayouba, Martine Peeters, Tulio de Oliveira, Luiz Carlos Júnior Alcântara, Zehava Grossman, Peter M. A. Sloot, Dan Otelea, Simona Paraschiv, Charles A. Boucher, Ricardo Camacho, Anne-Mieke Vandamme |
Bioinform. | 25 |