Log in to save to my catalogue

Applying convolutional neural networks to speed up environmental DNA annotation in a highly diverse...

Applying convolutional neural networks to speed up environmental DNA annotation in a highly diverse...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_98e714c348df44678e09bbdacc8ce295

Applying convolutional neural networks to speed up environmental DNA annotation in a highly diverse ecosystem

About this item

Full title

Applying convolutional neural networks to speed up environmental DNA annotation in a highly diverse ecosystem

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-06, Vol.12 (1), p.10247-10247, Article 10247

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

High-throughput DNA sequencing is becoming an increasingly important tool to monitor and better understand biodiversity responses to environmental changes in a standardized and reproducible way. Environmental DNA (eDNA) from organisms can be captured in ecosystem samples and sequenced using metabarcoding, but processing large volumes of eDNA data a...

Alternative Titles

Full title

Applying convolutional neural networks to speed up environmental DNA annotation in a highly diverse ecosystem

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_98e714c348df44678e09bbdacc8ce295

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_98e714c348df44678e09bbdacc8ce295

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-13412-w

How to access this item