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. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Sylvie Combes

dblp:217/5504 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › metagenomics › amplicon sequencing
amplicon sequencing analysis
0.312018
FROGS: Find, Rapidly, OTUs with Galaxy Solution · Bioinform. 2018
Bioinformatics and computational biology
metagenomics
0.312018
FROGS: Find, Rapidly, OTUs with Galaxy Solution · Bioinform. 2018
Bioinformatics and computational biology › metagenomics
operational taxonomic unit clustering
0.312018
FROGS: Find, Rapidly, OTUs with Galaxy Solution · Bioinform. 2018
Bioinformatics and computational biology › metagenomics
taxonomic classification
0.312018
FROGS: Find, Rapidly, OTUs with Galaxy Solution · Bioinform. 2018

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

swarm · 0.3VSEARCH · 0.3
YearPublicationVenuePosition
2018 FROGS: Find, Rapidly, OTUs with Galaxy Solution
abstract
Motivation: 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