Related Experiment Video
Updated: Jan 28, 2026

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization
Published on: April 14, 2016
metagenomeFeatures: an R package for working with 16S rRNA reference databases and marker-gene survey feature data
Nathan D Olson1,2,3, Nidhi Shah2,3,4, Jayaram Kancherla2,3
1Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.
Summary:
We developed the metagenomeFeatures R Bioconductor package along with annotation packages for three 16S rRNA databases (Greengenes, RDP and SILVA) to facilitate working with 16S rRNA databases and marker-gene survey feature data. The metagenomeFeatures package defines two classes, MgDb for working with 16S rRNA sequence databases, and mgFeatures for marker-gene survey feature data. The associated annotation packages provide a consistent interface to the different databases facilitating database comparison and exploration. The mgFeatures-class represents a crucial step in the development of a common data structure for working with 16S marker-gene survey data in R.
Availability And Implementation:
https://bioconductor.org/packages/release/bioc/html/metagenomeFeatures.html.
Supplementary Information:
Supplementary material is available at Bioinformatics online.
Related Concept Videos
Data Collection by Survey
Surveys
Gene Evolution - Fast or Slow?
In contrast, regions which code...
Introduction to Surveying, Plane Surveying and Geodetic Surveys
DNA Packaging
Chromatin Packaging

