Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species
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Carbohydrate Active enZymes (CAZymes) are pivotal in pathogen recognition, signalling, structure and energy metabolism. CAZy is the most comprehensive CAZyme database, cataloguing CAZymes into sequence-based CAZy families. The CAZyme prediction tools dbCAN, CUPP and eCAMI annotate CAZymes with CAZy families. However, these tools have not been independently evaluated on a common high-quality dataset. Additionally, previous evaluations did not evaluate the binary classification of CAZymes/non-CAZymes, and the multilabel classification of CAZymes to multiple CAZy families.
Hobbs , E E M , Gloster , T , Chapman , S & Pritchard , L 2021 , ' Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species ' , Microbiology Society Annual Conference , 26/04/21 - 30/04/21 .conference
Non peer reviewed
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