frogs_filters

frogs_filters filters Operational Taxonomic Units (OTUs) using multiple criteria to refine metagenomic datasets for downstream analysis.


Key Features:

  • Multi-Criteria OTU Filtering: Applies multiple, configurable criteria to filter OTUs in metagenomic datasets.
  • Galaxy Integration: Executes filtering workflows via the Galaxy execution engine on the Galaxy@Pasteur instance at Institut Pasteur.
  • Programmatic API Access: Interacts with Galaxy using the Galaxy API or the Bioblend library for job submission and management.
  • Computational Resource Management: Leverages the Institut Pasteur cluster for job execution and access to storage.

Scientific Applications:

  • Metagenomic data analysis: Refines OTU tables to improve community composition, diversity analyses, and downstream statistical inference.
  • Microbial ecology: Enables filtering strategies used in ecological assessments to adjust abundance and diversity estimates.
  • Clinical microbiology: Supports OTU filtering in clinical microbiome studies for research and diagnostic investigation.

Methodology:

Communication with Galaxy via the Galaxy API or the Bioblend library to submit and manage jobs on the Galaxy@Pasteur execution engine and access cluster storage.

Topics

Collections

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
12/19/2016
Last Updated:
6/16/2020

Operations

Data Inputs & Outputs

Filtering

Publications

Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.

Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.

Documentation

Links