The development of increasingly efficient and cost-effective high throughput DNA
sequencing techniques has enhanced the possibility of studying complex microbial systems …

High-throughput sequencing technologies allow easy characterization of the human
microbiome, but the statistical methods to analyze microbiome data are still in their infancy …

Differential abundance (DA) analysis of microbiome data continues to be a challenging
problem due to the complexity of the data. In this article we define the notion of “sampling …

The recent development of cost‐effective high‐throughput DNA sequencing technologies
has tremendously increased microbiome research. However, it has been well documented …

Motivation Current metagenomics approaches allow analyzing the composition of microbial
communities at high resolution. Important changes to the composition are known to even …

Background Differential abundance analysis (DAA) is one central statistical task in
microbiome data analysis. A robust and powerful DAA tool can help identify highly confident …

Background: Data from 16S amplicon sequencing present challenges to ecological and
statistical interpretation. In particular, library sizes often vary over several ranges of …

Differential abundance testing is a critical task in microbiome studies that is complicated by
the sparsity of data matrices. Here we adapt for microbiome studies a solution from the field …

Identifying differentially abundant microbes is a common goal of microbiome studies.
Multiple methods are used interchangeably for this purpose in the literature. Yet, there are …

Background Data from 16S ribosomal RNA (rRNA) amplicon sequencing present
challenges to ecological and statistical interpretation. In particular, library sizes often vary …