The study of sample taxonomic composition has evolved from direct observations and labor-intensive morphological studies to different DNA sequencing methodologies. Most of these studies leverage the ...

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The past 30 y have seen repeated calls for innovation in dietary assessment of human populations, yet field standard methods in epidemiology all still rely on asking individuals to self-report their ...

Abstract: Machine learning is known as an effective technique to classify big data, and coding methods for input into neural networks are critical. In this study, we have applied the machine learning ...

For the case of the 16S rRNA marker gene, PEMA includes two separate approaches for taxonomy assignment: alignment-based and phylogenetic-based. For the latter, a reference tree of 1000 taxa was ...

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The abyssal seafloor covers more than 50% of planet Earth and is a large reservoir of still mostly undescribed biodiversity. It is increasingly targeted by resource-extraction industries and yet is ...

A new study has shown that DNA metabarcoding serves as a powerful new tool for monitoring humans’ intake of plants, which could help researchers understand more about what we eat and how it affects ...

DNA-derived measurements of biological composition have the potential to produce data covering all of life, and provide a tantalizing proposition for researchers and managers. We used metabarcoding to ...

Metabarcoding is the process of using next-generation sequencing platforms (Illumina, PacBio, or Oxford Nanopore) to sequence amplicons and determine the ecological community that is present. The most ...