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Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species
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dc.contributor.author | Hobbs, Emma Elizabeth Mary | |
dc.contributor.author | Gloster, Tracey | |
dc.contributor.author | Chapman, Sean | |
dc.contributor.author | Pritchard, Leighton | |
dc.date.accessioned | 2022-01-06T14:30:01Z | |
dc.date.available | 2022-01-06T14:30:01Z | |
dc.date.issued | 2021-04-26 | |
dc.identifier | 274924020 | |
dc.identifier | 6f0c07ec-886b-41d8-96ba-8d850228e313 | |
dc.identifier.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 . | en |
dc.identifier.citation | conference | en |
dc.identifier.other | ORCID: /0000-0002-8470-4739/work/96817696 | |
dc.identifier.uri | https://hdl.handle.net/10023/24612 | |
dc.description.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. | |
dc.format.extent | 1049043 | |
dc.language.iso | eng | |
dc.subject | CAZymes | en |
dc.subject | dbCAN | en |
dc.subject | CUPP | en |
dc.subject | eCAMI | en |
dc.subject | CAZyme prediction | en |
dc.subject | CAZy | en |
dc.subject | QR Microbiology | en |
dc.subject.lcc | QR | en |
dc.title | Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species | en |
dc.type | Conference poster | en |
dc.contributor.institution | University of St Andrews. School of Biology | en |
dc.contributor.institution | University of St Andrews. Biomedical Sciences Research Complex | en |
dc.description.status | Non peer reviewed | en |
dc.identifier.url | https://doi.org/10.6084/m9.figshare.14370836.v3 | en |
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