Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

Extraction and identification of DNA from an environmental sample has proven noteworthy
recently in detecting and monitoring not only common species, but also those that are …

The advent of next generation sequencing (NGS) has enabled investigations of the gut
microbiome with unprecedented resolution and throughput. This has stimulated the …

The global biogeography of microorganisms remains largely unknown, in contrast to the well-
studied diversity patterns of macroorganisms. We used arbuscular mycorrhizal (AM) fungus …

Motivation: Sequence-based methods to delimit species are central to DNA taxonomy,
microbial community surveys and DNA metabarcoding studies. Current approaches either …

Rapidly developing sequencing methods and analytical techniques are enhancing our
ability to understand the human microbiome, and, indeed, how the microbiome and its …

Molecular microbial ecology investigations often employ large marker gene datasets, for
example, ribosomal RNAs, to represent the occurrence of single-cell genomes in microbial …

Sequence clustering is a basic bioinformatics task that is attracting renewed attention with
the development of metagenomics and microbiomics. The latest sequencing techniques …

Assignment of 16S rRNA gene sequences to operational taxonomic units (OTUs) is a
computational bottleneck in the process of analyzing microbial communities. Although this …

Prediction of taxonomy for marker gene sequences such as 16S ribosomal RNA (rRNA) is a
fundamental task in microbiology. Most experimentally observed sequences are diverged …