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 in | Glycobiology (Oxford) Vol. 25; no. 1; pp. 66 - 73 | 
|---|---|
| Main Authors | , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        England
          Oxford University Press
    
        01.01.2015
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0959-6658 1460-2423 1460-2423  | 
| DOI | 10.1093/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. | 
    
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| 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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| Cites_doi | 10.1093/glycob/cwj010 10.1515/hsz-2012-0135 10.1021/ci3002815 10.1021/ci100150d 10.1093/glycob/cwj049 10.4052/tigg.15.235 10.1093/glycob/cwp137 10.1016/0968-0004(89)90175-8 10.1093/glycob/cwj080 10.1186/1471-2105-9-384 10.1093/nar/29.1.332 10.1186/1472-6807-8-35 10.1021/cb700178s 10.1093/glycob/4.6.759 10.1371/journal.pbio.0060184 10.1002/pmic.200700917  | 
    
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| Keywords | glycan structure matching Qrator curation ontology  | 
    
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| 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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