Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species
Hobbs, Emma and Gloster, Tracey and Chapman, Sean and Pritchard, Leighton (2021) Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species. In: Microbiology Society Annual Conference 2021, 2021-04-26 - 2021-04-30, Online. (https://doi.org/10.6084/m9.figshare.14370836.v1)
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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 [2], 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.
ORCID iDs
Hobbs, Emma, Gloster, Tracey, Chapman, Sean and Pritchard, Leighton ORCID: https://orcid.org/0000-0002-8392-2822;-
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Item type: Conference or Workshop Item(Poster) ID code: 76077 Dates: DateEvent4 April 2021PublishedSubjects: Science > Microbiology Department: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences Depositing user: Pure Administrator Date deposited: 14 Apr 2021 13:17 Last modified: 18 Nov 2024 01:25 URI: https://strathprints.strath.ac.uk/id/eprint/76077