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Hiromasa Ono

dblp:38/11187 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-8675-963XORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

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 · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › data integration
biological database integration
0.612022
TogoID: an exploratory ID converter to bridge biological datasets · Bioinform. 2022
Bioinformatics and computational biology
identifier mapping
0.612022
TogoID: an exploratory ID converter to bridge biological datasets · Bioinform. 2022

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

ontology construction · 0.6API development · 0.6
YearPublicationVenuePosition
2022 TogoID: an exploratory ID converter to bridge biological datasets
abstract
MOTIVATION: Understanding life cannot be accomplished without making full use of biological data, which are scattered across databases of diverse categories in life sciences. To connect such data seamlessly, identifier (ID) conversion plays a key role. However, existing ID conversion services have disadvantages, such as covering only a limited range of biological categories of databases, not keeping up with the updates of the original databases and outputs being hard to interpret in the context of biological relations, especially when converting IDs in multiple steps. RESULTS: TogoID is an ID conversion service implementing unique features with an intuitive web interface and an application programming interface (API) for programmatic access. TogoID currently supports 65 datasets covering various biological categories. TogoID users can perform exploratory multistep conversions to find a path among IDs. To guide the interpretation of biological meanings in the conversions, we crafted an ontology that defines the semantics of the dataset relations. AVAILABILITY AND IMPLEMENTATION: The TogoID service is freely available on the TogoID website (https://togoid.dbcls.jp/) and the API is also provided to allow programmatic access. To encourage developers to add new dataset pairs, the system stores the configurations of pairs at the GitHub repository (https://github.com/togoid/togoid-config) and accepts the request of additional pairs. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Shuya Ikeda, Hiromasa Ono, Tazro Ohta, Hirokazu Chiba, Yuki Naito, Yuki Moriya, Shuichi Kawashima, Yasunori Yamamoto, Shinobu Okamoto, Susumu Goto, Toshiaki Katayama
Bioinform.2
2012 Tutorial videos of bioinformatics resources: online distribution trial in Japan named TogoTV
abstract
In recent years, biological web resources such as databases and tools have become more complex because of the enormous amounts of data generated in the field of life sciences. Traditional methods of distributing tutorials include publishing textbooks and posting web documents, but these static contents cannot adequately describe recent dynamic web services. Due to improvements in computer technology, it is now possible to create dynamic content such as video with minimal effort and low cost on most modern computers. The ease of creating and distributing video tutorials instead of static content improves accessibility for researchers, annotators and curators. This article focuses on online video repositories for educational and tutorial videos provided by resource developers and users. It also describes a project in Japan named TogoTV (http://togotv.dbcls.jp/en/) and discusses the production and distribution of high-quality tutorial videos, which would be useful to viewer, with examples. This article intends to stimulate and encourage researchers who develop and use databases and tools to distribute how-to videos as a tool to enhance product usability.
Shin Kawano, Hiromasa Ono, Toshihisa Takagi, Hidemasa Bono
Briefings Bioinform.2