Supervised machine learning outperforms taxonomy-based environmental DNA metabarcoding applied to biomonitoring-Reference-Cited by-同舟云学术

Supervised machine learning outperforms taxonomy-based environmental DNA metabarcoding applied to biomonitoring

Author:

Cordier Tristan¹^ORCID,Forster Dominik²,Dufresne Yoann¹³,Martins Catarina I. M.⁴,Stoeck Thorsten²,Pawlowski Jan¹⁵

Affiliation:

1. Department of Genetics and Evolution; University of Geneva; Geneva Switzerland

2. Ecology Group; University of Kaiserslautern; Kaiserslautern Germany

3. Institut Pasteur - Hub of Bioinformatics and Biostatistics - C3BI; USR 3756 IP CNRS; Paris France

4. Marine Harvest ASA; Bergen Norway

5. ID-Gene ecodiagnostics, Ltd; Plan-les-Ouates Switzerland

Funder

Swiss Network for International Studies

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Deutsche Forschungsgemeinschaft

Carl-Zeiss-Stiftung

NVIDIA GPU grant program

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics,Biotechnology

Link

Reference56 articles.

2. Deep learning for computational biology;Angermueller;Molecular Systems Biology,2016

4. Benchmarking DNA metabarcoding for biodiversity-based monitoring and assessment;Aylagas;Frontiers in Marine Science,2016

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