Article

Linked machine learning classifiers improve species classification of fungi when using error-prone long-reads on extended metabarcodes

2021-05-01

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> The increased usage of error-prone long-read sequencing for metabarcoding of fungi has not been matched with adequate public databases and concomitant analysis approaches. We address this gap and present a proof-of-concept study for classifying fungal taxa using linked machine learning classifiers. We demonstrate the capability of linked machine learning classifiers to accur...

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Literature Corpus work: b1f431dd-bab9-589f-bc47-0d9033e21192
DOI: 10.1101/2021.05.01.442223

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