Demo Data from EDBT 2026 / reviewers in the wild / expert
Issaku Yamada
dblp:138/6401
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-9504-189XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › molecular informatics › cheminformatics
glycan structure representation |
0.4 | 1 | 2019 | GlycanFormatConverter: a conversion tool for translating the complexities of glycans · Bioinform. 2019 |
Bioinformatics and computational biology › molecular informatics
glycoinformatics |
0.1 | 1 | 2019 | GlycanFormatConverter: a conversion tool for translating the complexities of glycans · Bioinform. 2019 |
Bioinformatics and computational biology › bioinformatics infrastructure
database interoperability |
0.1 | 1 | 2015 | GlycoRDF: an ontology to standardize glycomics data in RDF · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
format translation · 0.4resource description framework · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | GlycanFormatConverter: a conversion tool for translating the complexities of glycansabstractMOTIVATION: Glycans are biomolecules that take an important role in the biological processes of living organisms. They form diverse, complicated structures such as branched and cyclic forms. Web3 Unique Representation of Carbohydrate Structures (WURCS) was proposed as a new linear notation for uniquely representing glycans during the GlyTouCan project. WURCS defines rules for complex glycan structures that other text formats did not support, and so it is possible to represent a wide variety glycans. However, WURCS uses a complicated nomenclature, so it is not human-readable. Therefore, we aimed to support the interpretation of WURCS by converting WURCS to the most basic and widely used format IUPAC. RESULTS: In this study, we developed GlycanFormatConverter and succeeded in converting WURCS to the three kinds of IUPAC formats (IUPAC-Extended, IUPAC-Condensed and IUPAC-Short). Furthermore, we have implemented functionality to import IUPAC-Extended, KEGG Chemical Function (KCF) and LinearCode formats and to export WURCS. We have thoroughly tested our GlycanFormatConverter and were able to show that it was possible to convert all the glycans registered in the GlyTouCan repository, with exceptions owing only to the limitations of the original format. The source code for this conversion tool has been released as an open source tool. AVAILABILITY AND IMPLEMENTATION: https://github.com/glycoinfo/GlycanFormatConverter.git. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Shinichiro Tsuchiya, Issaku Yamada, Kiyoko F. Aoki-Kinoshita |
Bioinform. | 2 |
| 2015 | GlycoRDF: an ontology to standardize glycomics data in RDFabstractMOTIVATION: Over the last decades several glycomics-based bioinformatics resources and databases have been created and released to the public. Unfortunately, there is no common standard in the representation of the stored information or a common machine-readable interface allowing bioinformatics groups to easily extract and cross-reference the stored information. RESULTS: An international group of bioinformatics experts in the field of glycomics have worked together to create a standard Resource Description Framework (RDF) representation for glycomics data, focused on glycan sequences and related biological source, publications and experimental data. This RDF standard is defined by the GlycoRDF ontology and will be used by database providers to generate common machine-readable exports of the data stored in their databases. AVAILABILITY AND IMPLEMENTATION: The ontology, supporting documentation and source code used by database providers to generate standardized RDF are available online (http://www.glycoinfo.org/GlycoRDF/). René Ranzinger, Kiyoko F. Aoki-Kinoshita, Matthew P. Campbell, Shin Kawano, Thomas Lütteke, Shujiro Okuda, Daisuke Shinmachi, Toshihide Shikanai, Hiromichi Sawaki, Philip V. Toukach, Masaaki Matsubara, Issaku Yamada, Hisashi Narimatsu |
Bioinform. | 12 |