The availability of public genomic resources can greatly assist biodiversity assessment,
conservation, and restoration efforts by providing evidence for scientifically informed …

The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …

Nucleotide sequence and taxonomy reference databases are critical resources for
widespread applications including marker-gene and metagenome sequencing for …

Environmental DNA (eDNA) has revolutionized our ability to identify the presence and
distributions of terrestrial and aquatic organisms. Recent evidence suggests the …

Conserving biodiversity in the face of ever-increasing human pressure is hampered by our
lack of basic information on species occurrence, distribution, abundance, habitat …

Environmental DNA (eDNA) metabarcoding is a novel method of assessing biodiversity
wherein samples are taken from the environment via water, sediment or air from which DNA …

Environmental DNA (eDNA) is genetic material that has been shed from macroorganisms. It
has received increased attention as an indirect marker for biodiversity monitoring. This …

Increased use of environmental DNA (eDNA) analysis for indirect species detection has
spurred the need to understand eDNA persistence in the environment. Understanding the …

The last decade brought a spectacular development of so‐called environmental (e) DNA
studies. In general,“environmental DNA” is defined as DNA isolated from environmental …

DNA metabarcoding is increasingly used for the assessment of aquatic communities, and
numerous studies have investigated the consistency of this technique with traditional …