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Bioinformatics
Article
Data sources: UnpayWall
Bioinformatics
Article . 2004 . Peer-reviewed
Data sources: Crossref
Bioinformatics
Article . 2005
Data sources: Europe PubMed Central
DBLP
Article . 2005
Data sources: DBLP
https://dx.doi.org/10.1093/bio...
Article
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The carbohydrate sequence markup language (CabosML): an XML description of carbohydrate structures

descriptionPublicationkeyboard_double_arrow_right Article 25 Nov 2004 English Publisher:Oxford University Press (OUP)Journal:Bioinformatics, volume 21, pages 1,717-1,718 (issn: 1367-4803, eissn: 1460-2059, Copyright policy )
Authors: Norihiro Kikuchi; Akihiko Kameyama; Shuuichi Nakaya; Hiromi Ito; Takashi Sato 0002; Toshihide Shikanai; Yoriko Takahashi; +1 Authors

doi: 10.1093/bioinformatics/bti152

pmid: 15564307

The carbohydrate sequence markup language (CabosML): an XML description of carbohydrate structures

Abstract

Bioinformatics resources for glycomics are very poor as compared with those for genomics and proteomics. The complexity of carbohydrate sequences makes it difficult to define a common language to represent them, and the development of bioinformatics tools for glycomics has not progressed. In this study, we developed a carbohydrate sequence markup language (CabosML), an XML description of carbohydrate structures.The language definition (XML Schema) and an experimental database of carbohydrate structures using an XML database management system are available at http://www.phoenix.hydra.mki.co.jp/CabosDemo.htmlkikuchi@hydra.mki.co.jp.

Related Organizations
Keywords

Carbohydrate Sequence, Databases, Factual, Molecular Sequence Data, Carbohydrates, Database Management Systems, Information Storage and Retrieval, Programming Languages

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 51
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
51
Top 10%
Top 10%
Top 10%
bronze