Demo Data from VLDB 2026 / reviewers in the wild / expert
Sylvie Combes
dblp:217/5504
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-2945-4423ORCID · reported
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › metagenomics › amplicon sequencing
amplicon sequencing analysis |
0.3 | 1 | 2018 | FROGS: Find, Rapidly, OTUs with Galaxy Solution · Bioinform. 2018 |
Bioinformatics and computational biology
metagenomics |
0.3 | 1 | 2018 | FROGS: Find, Rapidly, OTUs with Galaxy Solution · Bioinform. 2018 |
Bioinformatics and computational biology › metagenomics
operational taxonomic unit clustering |
0.3 | 1 | 2018 | FROGS: Find, Rapidly, OTUs with Galaxy Solution · Bioinform. 2018 |
Bioinformatics and computational biology › metagenomics
taxonomic classification |
0.3 | 1 | 2018 | FROGS: Find, Rapidly, OTUs with Galaxy Solution · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
swarm · 0.3VSEARCH · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | FROGS: Find, Rapidly, OTUs with Galaxy SolutionabstractMotivation: Metagenomics leads to major advances in microbial ecology and biologists need user friendly tools to analyze their data on their own. Results: This Galaxy-supported pipeline, called FROGS, is designed to analyze large sets of amplicon sequences and produce abundance tables of Operational Taxonomic Units (OTUs) and their taxonomic affiliation. The clustering uses Swarm. The chimera removal uses VSEARCH, combined with original cross-sample validation. The taxonomic affiliation returns an innovative multi-affiliation output to highlight databases conflicts and uncertainties. Statistical results and numerous graphical illustrations are produced along the way to monitor the pipeline. FROGS was tested for the detection and quantification of OTUs on real and in silico datasets and proved to be rapid, robust and highly sensitive. It compares favorably with the widespread mothur, UPARSE and QIIME. Availability and implementation: Source code and instructions for installation: https://github.com/geraldinepascal/FROGS.git. A companion website: http://frogs.toulouse.inra.fr. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online. Frédéric Escudié, Lucas Auer, Maria Bernard, Mahendra Mariadassou, Laurent Cauquil, Katia Vidal, Sarah Maman, Guillermina Hernandez-Raquet, Sylvie Combes, Géraldine Pascal |
Bioinform. | 9 |