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Next Generation Biomonitoring: Implementing Machine Learning for Accurate Metabarcoding with Nanopore MinION
Next Generation Biomonitoring: Implementing Machine Learning for Accurate Metabarcoding with Nanopore MinION
Bilgenur Baloğlu University of Southern California Metabarcoding (identification of the plant, animal, and fungal taxa present in an environmental sample) rapidly gains importance in ecology, food safety, pest identification, and disease surveillance. NGS metabarcoding has a compelling advantage over traditional approaches for obtaining data on species distributions, however, it is often difficult to detect all […]