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Takashi Sato 0002

dblp:48/4595-2 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
0000-0002-9973-8923ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 77% Computational science and engineering · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
glycomics
0.112005
The carbohydrate sequence markup language (CabosML): an XML description of carbohydrate structures · Bioinform. 2005
Computational science and engineering › scientific data management
data standards
0.012005
The carbohydrate sequence markup language (CabosML): an XML description of carbohydrate structures · Bioinform. 2005

Methods — techniques the papers use, named apart from their topics

XML · 0.1
YearPublicationVenuePosition
2005 The carbohydrate sequence markup language (CabosML): an XML description of carbohydrate structures
abstract
UNLABELLED: 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. AVAILABILITY: 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.html CONTACT: [email protected].
Norihiro Kikuchi, Akihiko Kameyama, Shuuichi Nakaya, Hiromi Ito, Takashi Sato 0002, Toshihide Shikanai, Yoriko Takahashi, Hisashi Narimatsu
Bioinform.5