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Related Experiment Video

Updated: Feb 17, 2026

Functional Evaluation of Olfactory Pathways in Living Xenopus Tadpoles

Functional Evaluation of Olfactory Pathways in Living Xenopus Tadpoles

Published on: December 11, 2018

FROGS: Find, Rapidly, OTUs with Galaxy Solution.

Frédéric Escudié¹, Lucas Auer², Maria Bernard³

¹Bioinformatics platform Toulouse Midi-Pyrenees, MIAT, INRA Auzeville CS 52627 31326 Castanet Tolosan cedex, France.

Bioinformatics (Oxford, England)

|December 12, 2017

Summary

This summary is machine-generated.

FROGS is a user-friendly tool for analyzing microbial ecology data. This pipeline efficiently identifies and quantifies Operational Taxonomic Units (OTUs) from amplicon sequences, aiding biological research.

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Area of Science:

Microbial Ecology
Bioinformatics
Computational Biology

Background:

Metagenomics research generates large datasets requiring accessible analysis tools for biologists.
Current tools may lack user-friendliness or specific functionalities for comprehensive amplicon sequence analysis.

Purpose of the Study:

To introduce FROGS, a Galaxy-supported pipeline for analyzing large amplicon sequence datasets.
To provide biologists with an easy-to-use tool for generating Operational Taxonomic Unit (OTU) abundance tables and taxonomic affiliations.

Main Methods:

FROGS utilizes Swarm for clustering and VSEARCH with cross-sample validation for chimera removal.
The pipeline incorporates multi-affiliation output to address database conflicts and uncertainties.
It integrates statistical analyses and graphical illustrations for pipeline monitoring.

Main Results:

FROGS successfully detects and quantifies OTUs in both real and in silico datasets.
The pipeline demonstrates high speed, robustness, and sensitivity in its performance.
FROGS shows favorable comparisons against established tools like mothur, UPARSE, and QIIME.

Conclusions:

FROGS offers a powerful, user-friendly solution for microbial ecology data analysis.
The tool's efficiency and comprehensive output facilitate deeper insights into microbial communities.
FROGS enhances the accessibility of advanced metagenomic analysis for a broader range of biologists.