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dc.contributor.authorCampbell, Matthew
dc.date.accessioned2018-07-24T03:46:54Z
dc.date.available2018-07-24T03:46:54Z
dc.date.issued2017
dc.identifier.issn0915-7352
dc.identifier.doi10.4052/tigg.1601.1E
dc.identifier.urihttp://hdl.handle.net/10072/378783
dc.description.abstractCompared to proteomics, computational platforms for glycoproteomics is at an early stage and many researchers rely on the manual interpretation of large data sets to gain structural insights into the glycoproteome. Over the last few years there has been a steady increase in the availability of bioinformatics tools for processing and annotating glycoproteomics data sets. This mini-review describes advances in the development of algorithms and software applications and their applications. Furthermore, an update on structural and analytical databases is presented with a focus on those resources still actively maintained by the community, and how these resources are now being integrated into glycoproteomics pipelines to improve data interpretation.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherForum: Carbohydrates Coming of Age (FCCA)
dc.relation.ispartofpagefromE51
dc.relation.ispartofpagetoE62
dc.relation.ispartofissue168
dc.relation.ispartofjournalTrends in Glycoscience and Glycotechnology
dc.relation.ispartofvolume29
dc.subject.fieldofresearchBiological Sciences not elsewhere classified
dc.subject.fieldofresearchcode069999
dc.titleA Review of Software Applications and Databases for the Interpretation of Glycopeptide Data
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionVersion of Record (VoR)
gro.facultyOffice of the Snr Dep Vice Chancellor, Institute for Glycomics
gro.rights.copyright© 2017 Forum: Carbohydrates Coming of Age (FCCA). The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorCampbell, Matthew


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