Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species

Emma Elizabeth Mary Hobbs; Tracey Gloster; Sean Chapman; Leighton Pritchard

Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species

Emma Elizabeth Mary Hobbs, Tracey Gloster, Sean Chapman, Leighton Pritchard

Research output: Contribution to conference › Poster

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.

Original language	English
Publication status	Published - 26 Apr 2021
Event	Microbiology Society Annual Conference 2021 - Virtual, Online Duration: 26 Apr 2021 → 30 Apr 2021 https://microbiologysociety.org/event/full-events-listing/annual-conference-online-2021.html

Conference

Conference	Microbiology Society Annual Conference 2021
City	Online
Period	26/04/21 → 30/04/21
Internet address	https://microbiologysociety.org/event/full-events-listing/annual-conference-online-2021.html

Keywords

CAZymes
dbCAN
CUPP
eCAMI
CAZyme prediction
CAZy

Access to Document

P361_comprehensive_evaluation_cazyme_prediction
Copyright © 2021 The Authors.
Final published version, 1 MBLicence: CC BY

Cite this

@conference{6f0c07ec886b41d896ba8d850228e313,

title = "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 comprehensiveCAZyme database, cataloguing CAZymes into sequence-based CAZy families.The CAZyme prediction tools dbCAN, CUPP and eCAMI annotateCAZymes with CAZy families. However, these tools have not been independentlyevaluated on a common high-quality dataset. Additionally, previous evaluationsdid not evaluate the binary classification of CAZymes/non-CAZymes, and themultilabel classification of CAZymes to multiple CAZy families.",

keywords = "CAZymes, dbCAN, CUPP, eCAMI, CAZyme prediction, CAZy",

author = "Hobbs, {Emma Elizabeth Mary} and Tracey Gloster and Sean Chapman and Leighton Pritchard",

year = "2021",

month = apr,

day = "26",

language = "English",

note = "Microbiology Society Annual Conference 2021 ; Conference date: 26-04-2021 Through 30-04-2021",

url = "https://microbiologysociety.org/event/full-events-listing/annual-conference-online-2021.html",

}

TY - CONF

T1 - Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species

AU - Hobbs, Emma Elizabeth Mary

AU - Gloster, Tracey

AU - Chapman, Sean

AU - Pritchard, Leighton

PY - 2021/4/26

Y1 - 2021/4/26

N2 - Carbohydrate Active enZymes (CAZymes) are pivotal in pathogen recognition,signalling, structure and energy metabolism. CAZy is the most comprehensiveCAZyme database, cataloguing CAZymes into sequence-based CAZy families.The CAZyme prediction tools dbCAN, CUPP and eCAMI annotateCAZymes with CAZy families. However, these tools have not been independentlyevaluated on a common high-quality dataset. Additionally, previous evaluationsdid not evaluate the binary classification of CAZymes/non-CAZymes, and themultilabel classification of CAZymes to multiple CAZy families.

AB - Carbohydrate Active enZymes (CAZymes) are pivotal in pathogen recognition,signalling, structure and energy metabolism. CAZy is the most comprehensiveCAZyme database, cataloguing CAZymes into sequence-based CAZy families.The CAZyme prediction tools dbCAN, CUPP and eCAMI annotateCAZymes with CAZy families. However, these tools have not been independentlyevaluated on a common high-quality dataset. Additionally, previous evaluationsdid not evaluate the binary classification of CAZymes/non-CAZymes, and themultilabel classification of CAZymes to multiple CAZy families.

KW - CAZymes

KW - dbCAN

KW - CUPP

KW - eCAMI

KW - CAZyme prediction

KW - CAZy

UR - https://doi.org/10.6084/m9.figshare.14370836.v3

M3 - Poster

T2 - Microbiology Society Annual Conference 2021

Y2 - 26 April 2021 through 30 April 2021

ER -

Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

HobnobMancer/cazy_webscraper: All versions

HobnobMancer/PhD_Project_Scripts: Testing Zenodo integration

cazy_webscraper: for creating a local CAZy database

Cite this

Comprehensive evaluation of CAZyme prediction tools in fungal and bacterial species

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Datasets

HobnobMancer/cazy_webscraper: All versions

HobnobMancer/PhD_Project_Scripts: Testing Zenodo integration

Research output

cazy_webscraper: for creating a local CAZy database

Cite this