Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species
Abstract
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.
Citation
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
Status
Non peer reviewed
Type
Conference poster
Rights
Copyright © 2021 The Authors.
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