Qrator: A web-based curation tool for glycan structures

Most currently available glycan structure databases use their own proprietary structure representation schema and contain numerous annotation errors. These cause problems when glycan databases are used for the annotation or mining of data generated in the laboratory. Due to the complexity of glycan...

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Published inGlycobiology (Oxford) Vol. 25; no. 1; pp. 66 - 73
Main Authors Eavenson, Matthew, Kochut, Krys J, Miller, John A, Ranzinger, René, Tiemeyer, Michael, Aoki, Kazuhiro, York, William S
Format Journal Article
LanguageEnglish
Published England Oxford University Press 01.01.2015
Subjects
Online AccessGet full text
ISSN0959-6658
1460-2423
1460-2423
DOI10.1093/glycob/cwu090

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Abstract Most currently available glycan structure databases use their own proprietary structure representation schema and contain numerous annotation errors. These cause problems when glycan databases are used for the annotation or mining of data generated in the laboratory. Due to the complexity of glycan structures, curating these databases is often a tedious and labor-intensive process. However, rigorously validating glycan structures can be made easier with a curation workflow that incorporates a structure-matching algorithm that compares candidate glycans to a canonical tree that embodies structural features consistent with established mechanisms for the biosynthesis of a particular class of glycans. To this end, we have implemented Qrator, a web-based application that uses a combination of external literature and database references, user annotations and canonical trees to assist and guide researchers in making informed decisions while curating glycans. Using this application, we have started the curation of large numbers of N-glycans, O-glycans and glycosphingolipids. Our curation workflow allows creating and extending canonical trees for these classes of glycans, which have subsequently been used to improve the curation workflow.
AbstractList Most currently available glycan structure databases use their own proprietary structure representation schema and contain numerous annotation errors. These cause problems when glycan databases are used for the annotation or mining of data generated in the laboratory. Due to the complexity of glycan structures, curating these databases is often a tedious and labor-intensive process. However, rigorously validating glycan structures can be made easier with a curation workflow that incorporates a structure-matching algorithm that compares candidate glycans to a canonical tree that embodies structural features consistent with established mechanisms for the biosynthesis of a particular class of glycans. To this end, we have implemented Qrator, a web-based application that uses a combination of external literature and database references, user annotations and canonical trees to assist and guide researchers in making informed decisions while curating glycans. Using this application, we have started the curation of large numbers of N-glycans, O-glycans and glycosphingolipids. Our curation workflow allows creating and extending canonical trees for these classes of glycans, which have subsequently been used to improve the curation workflow.Most currently available glycan structure databases use their own proprietary structure representation schema and contain numerous annotation errors. These cause problems when glycan databases are used for the annotation or mining of data generated in the laboratory. Due to the complexity of glycan structures, curating these databases is often a tedious and labor-intensive process. However, rigorously validating glycan structures can be made easier with a curation workflow that incorporates a structure-matching algorithm that compares candidate glycans to a canonical tree that embodies structural features consistent with established mechanisms for the biosynthesis of a particular class of glycans. To this end, we have implemented Qrator, a web-based application that uses a combination of external literature and database references, user annotations and canonical trees to assist and guide researchers in making informed decisions while curating glycans. Using this application, we have started the curation of large numbers of N-glycans, O-glycans and glycosphingolipids. Our curation workflow allows creating and extending canonical trees for these classes of glycans, which have subsequently been used to improve the curation workflow.
Most currently available glycan structure databases use their own proprietary structure representation schema and contain numerous annotation errors. These cause problems when glycan databases are used for the annotation or mining of data generated in the laboratory. Due to the complexity of glycan structures, curating these databases is often a tedious and labor-intensive process. However, rigorously validating glycan structures can be made easier with a curation workflow that incorporates a structure-matching algorithm that compares candidate glycans to a canonical tree that embodies structural features consistent with established mechanisms for the biosynthesis of a particular class of glycans. To this end, we have implemented Qrator, a web-based application that uses a combination of external literature and database references, user annotations and canonical trees to assist and guide researchers in making informed decisions while curating glycans. Using this application, we have started the curation of large numbers of N-glycans, O-glycans and glycosphingolipids. Our curation workflow allows creating and extending canonical trees for these classes of glycans, which have subsequently been used to improve the curation workflow.
Author Ranzinger, René
Tiemeyer, Michael
York, William S
Eavenson, Matthew
Kochut, Krys J
Miller, John A
Aoki, Kazuhiro
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Issue 1
Keywords glycan
structure matching
Qrator
curation
ontology
Language English
License The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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Snippet Most currently available glycan structure databases use their own proprietary structure representation schema and contain numerous annotation errors. These...
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Aggregation Database
Index Database
Enrichment Source
StartPage 66
SubjectTerms Algorithms
Carbohydrate Sequence
Data Mining
Databases, Chemical
Glycosphingolipids - biosynthesis
Glycosphingolipids - chemistry
Glycosphingolipids - classification
Humans
Internet
Molecular Sequence Annotation
Molecular Sequence Data
Original
Polysaccharides - biosynthesis
Polysaccharides - chemistry
Polysaccharides - classification
Software
Title Qrator: A web-based curation tool for glycan structures
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https://www.proquest.com/docview/1628882489
https://pubmed.ncbi.nlm.nih.gov/PMC4245907
https://academic.oup.com/glycob/article-pdf/25/1/66/16658178/cwu090.pdf
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