[HTML][HTML] Past, present, and future perspectives of environmental DNA (eDNA) metabarcoding: A systematic review in methods, monitoring, and applications of global …

KM Ruppert, RJ Kline, MS Rahman - Global Ecology and Conservation, 2019 - Elsevier
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 …

[HTML][HTML] Environmental DNA metabarcoding for benthic monitoring: A review of sediment sampling and DNA extraction methods

J Pawlowski, K Bruce, K Panksep, FI Aguirre… - Science of the Total …, 2022 - Elsevier
Environmental DNA (eDNA) metabarcoding (parallel sequencing of DNA/RNA for
identification of whole communities within a targeted group) is revolutionizing the field of …

[HTML][HTML] The future of biotic indices in the ecogenomic era: Integrating (e) DNA metabarcoding in biological assessment of aquatic ecosystems

J Pawlowski, M Kelly-Quinn, F Altermatt… - Science of the Total …, 2018 - Elsevier
The bioassessment of aquatic ecosystems is currently based on various biotic indices that
use the occurrence and/or abundance of selected taxonomic groups to define ecological …

[图书][B] A practical guide to DNA-based methods for biodiversity assessment.

K Bruce, RC Blackman, SJ Bourlat, M Hellström… - 2021 - repository.oceanbestpractices.org
This book represents a synthesis of knowledge and best practice in the field of DNA-based
biomonitoring at the time of writing. It has been written with end-users of molecular tools in …

Uses and misuses of environmental DNA in biodiversity science and conservation

ME Cristescu, PDN Hebert - Annual Review of Ecology …, 2018 - annualreviews.org
The study of environmental DNA (eDNA) has the potential to revolutionize biodiversity
science and conservation action by enabling the census of species on a global scale in near …

Ecosystems monitoring powered by environmental genomics: a review of current strategies with an implementation roadmap

T Cordier, L Alonso‐Sáez… - Molecular …, 2021 - Wiley Online Library
A decade after environmental scientists integrated high‐throughput sequencing
technologies in their toolbox, the genomics‐based monitoring of anthropogenic impacts on …

Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles

F Yu, C Wei, P Deng, T Peng, X Hu - Science advances, 2021 - science.org
The development of machine learning provides solutions for predicting the complicated
immune responses and pharmacokinetics of nanoparticles (NPs) in vivo. However, highly …

DNA metabarcoding of littoral hard-bottom communities: high diversity and database gaps revealed by two molecular markers

OS Wangensteen, C Palacín, M Guardiola, X Turon - PeerJ, 2018 - peerj.com
Biodiversity assessment of marine hard-bottom communities is hindered by the high
diversity and size-ranges of the organisms present. We developed a DNA metabarcoding …

Application of machine learning in microbiology

K Qu, F Guo, X Liu, Y Lin, Q Zou - Frontiers in microbiology, 2019 - frontiersin.org
Microorganisms are ubiquitous and closely related to people's daily lives. Since they were
first discovered in the 19th century, researchers have shown great interest in …

A review on the applications and recent advances in environmental DNA (eDNA) metagenomics

D Garlapati, B Charankumar, K Ramu… - … Science and Bio …, 2019 - Springer
Progressions accomplished in the field of molecular biology amid the most recent decade
has changed the way in which we contemplate biodiversity on earth. Together with the …