Related Experiment Video
Updated: May 7, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Differential abundance analysis for microbial marker-gene surveys
Joseph N Paulson1, O Colin Stine, Héctor Corrada Bravo
11] Graduate Program in Applied Mathematics & Statistics, and Scientific Computation, University of Maryland, College Park, Maryland, USA. [2] Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA.
Abstract:
We introduce a methodology to assess differential abundance in sparse high-throughput microbial marker-gene survey data. Our approach, implemented in the metagenomeSeq Bioconductor package, relies on a novel normalization technique and a statistical model that accounts for undersampling-a common feature of large-scale marker-gene studies. Using simulated data and several published microbiota data sets, we show that metagenomeSeq outperforms the tools currently used in this field.
Related Concept Videos
Methods to Assess Microbial Populations
Methods to Assess Microbial Communities
Modern Molecular Taxonomy
DNA Microarrays
