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Cited by 278

The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.

An emergent science on the brink of irrelevance: a review of the past 8 years of DNA barcoding

TAYLOR, H. R., HARRIS, W. E.·2012·Molecular Ecology Resources

Abstract

DNA barcoding has become a well‐funded, global enterprise since its proposition as a technique for species identification, delimitation and discovery in 2003. However, the rapid development of next generation sequencing (NGS) has the potential to render DNA barcoding irrelevant because of the speed with which it generates large volumes of genomic data. To avoid obsolescence, the DNA barcoding movement must adapt to use this new technology. This review examines the DNA barcoding enterprise, its continued resistance to improvement and the implications of this on the future of the discipline. We present the consistent failure of DNA barcoding to recognize its limitations and evolve its methodologies, reducing the usefulness of the data produced by the movement and throwing into doubt its ability to embrace NGS.

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Crossref · 10.1111/j.1755-0998.2012.03119.x

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Metadata

Authors
TAYLOR, H. R., & HARRIS, W. E.
Venue
Molecular Ecology Resources
Publisher
Wiley
Published
2012-02-22
Volume
12
Issue
3
Pages
377-388
ISSN
  • 1755-098X (ISSN-L)
  • 1755-0998
OpenAlex
W2065870173
Cited by
278
References
97
FWCI
28.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An emergent science on the brink of irrelevance: a review of the past 8 years of DNA barcoding. https://app.cochat.ai/papers/10.1111/j.1755-0998.2012.03119.x
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TAYLOR, H. R., & HARRIS, W. E. (2012). An emergent science on the brink of irrelevance: a review of the past 8 years of DNA barcoding. Molecular Ecology Resources. https://doi.org/10.1111/j.1755-0998.2012.03119.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.