Proteomics plays a vital role in biomedical research in the post-genomic era. With the
technological revolution and emerging computational and statistic models, proteomic …

The number of microbiome-related studies has notably increased the availability of data on
human microbiome composition and function. These studies provide the essential material …

Abstract Motivation The 16S ribosomal RNA (rRNA) gene is widely used to survey microbial
communities. Sequences are often clustered into Operational Taxonomic Units (OTUs) as …

Data clustering is a commonly used data processing technique in many fields, which divides
objects into different clusters in terms of some similarity measure between data points …

Motivation Metagenomics leads to major advances in microbial ecology and biologists need
user friendly tools to analyze their data on their own. Results This Galaxy-supported …

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

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

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

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

Background. 16S rRNA gene sequences are routinely assigned to operational taxonomic
units (OTUs) that are then used to analyze complex microbial communities. A number of …