metagenomeFeatures: An R package for working with 16S rRNA reference databases and marker-gene survey feature data.
Nathan D. OlsoniD, Nidhi Shah, Jayaram KancherlaiD, Justin WagneriD, Joseph Nathaniel PaulsoniD, Héctor Corrada BravoiD
Abstract
We developed the metagenomeFeatures R Bioconductor package along with annotation packages for the three primary 16S rRNA databases (Greengenes, RDP, and SILVA) to facilitate working with 16S rRNA sequence databases and marker-gene survey feature data. The metagenomeFeatures package defines two classes, MgDb for working with 16S rRNA sequence databases, and mgFeatures for working with marker-gene survey feature data. The associated annotation packages provide a consistent interface to the different 16S rRNA databases facilitating database comparison and exploration. The mgFeatures represents a crucial step in the development of a common data structure for working with 16S marker-gene survey data in R.\n\nAvailabilityhttps://bioconductor.org/packages/release/bioc/html/metagenomeFeatures.html\n\nContactnolson@nist.gov
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 8
- FWCI
- 0.33
- Field percentile
- top 48%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- ampvis2: an R package to analyse and visualise 16S rRNA amplicon data
Kasper Skytte Andersen, Rasmus Hansen Kirkegaard, … Mads Albertsen·bioRxiv·Apr 11, 2018
- Tax4Fun2: a R-based tool for the rapid prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene marker gene sequences
Franziska Wemheuer, Jessica Alison Taylor, … Bernd Wemheuer·Environmental MicrobiomePeer-reviewed·May 18, 2020
- mettannotator: a comprehensive and scalable Nextflow annotation pipeline for prokaryotic assemblies
Tatiana A. Gurbich, Martín Beracochea, … Robert D. Finn·BioinformaticsPeer-reviewed·Jan 22, 2025
- animalcules: Interactive Microbiome Analytics 1 and Visualization in R
W. E. Johnson, A. Federico, … Y. Zhao·bioRxiv·May 29, 2020
- Mitag4taxa: Extracting SSU rRNA Illumina reads from metagenomes for taxonomic classification
Yinghui He, Yiling Du, … Yong Wang·bioRxiv·May 5, 2026
- MetaSanity: An integrated, customizable microbial genome evaluation and annotation pipeline
Christopher J. Neely, Elaina D. Graham, Benjamin Tully·BioinformaticsPeer-reviewed·May 14, 2020