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Cited by 204

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Fungal identification using a Bayesian classifier and the Warcup training set of internal transcribed spacer sequences

Open access
Deshpande, Vinita, Wang, Qiong, Greenfield, Paul, Charleston, Michael, Porras-Alfaro, Andrea, Kuske, Cheryl R., Cole, James R., Midgley, David J, Tran-Dinh, Nai·2016·Mycologia

Abstract

Fungi are key organisms in many ecological processes and communities. Rapid and low cost surveys of the fungal members of a community can be undertaken by isolating and sequencing a taxonomically informative genomic region, such as the ITS (internal transcribed spacer), from DNA extracted from a metagenomic sample, and then classifying these sequences to determine which organisms are present. This paper announces the availability of the Warcup ITS training set and shows how it can be used with the Ribosomal Database Project (RDP) Bayesian Classifier to rapidly and accurately identify fungi using ITS sequences. The classifications can be down to species level and use conventional literature-based mycological nomenclature and taxonomic assignments.

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Metadata

Authors
Deshpande, V., Wang, Q., Greenfield, P., Charleston, M., Porras-Alfaro, A., Kuske, C. R., Cole, J. R., Midgley, D. J., & Tran-Dinh, N.
Venue
Mycologia
Published
2016-01
Volume
108
Issue
1
Pages
1-5
ISSN
  • 0027-5514 (ISSN-L)
  • 1557-2536
OpenAlex
W2260894375
Cited by
204
References
1
FWCI
29.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fungal identification using a Bayesian classifier and the Warcup training set of internal transcribed spacer sequences. https://app.cochat.ai/papers/10.3852/14-293
The paper
Deshpande, V., Wang, Q., Greenfield, P., Charleston, M., Porras-Alfaro, A., Kuske, C. R., Cole, J. R., Midgley, D. J., & Tran-Dinh, N. (2016). Fungal identification using a Bayesian classifier and the Warcup training set of internal transcribed spacer sequences. Mycologia. https://doi.org/10.3852/14-293

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