Evidence map›Paper›PMID 30624651›Full record

ArticleDatabase : the journal of biological databases and curation2019

TogoGenome/TogoStanza: modularized Semantic Web genome database.

Toshiaki Katayama, Shuichi Kawashima, Shinobu Okamoto, Yuki Moriya, Hirokazu Chiba, Yuki Naito, Takatomo Fujisawa, Hiroshi Mori, Toshihisa Takagi

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Toshiaki KatayamaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.
Shuichi KawashimaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.
Shinobu OkamotoDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.
Yuki MoriyaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.
Hirokazu ChibaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.
Yuki NaitoDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.
Takatomo FujisawaNational Institute of Genetics, Mishima, Shizuoka, Japan.
Hiroshi MoriNational Institute of Genetics, Mishima, Shizuoka, Japan.
Toshihisa TakagiNational Institute of Genetics, Mishima, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TogoGenome is a genome database that is purely based on the Semantic Web technology, which enables the integration of heterogeneous data and flexible semantic searches. All the information is stored as Resource Description Framework (RDF) data, and the reporting web pages are generated on the fly using SPARQL Protocol and RDF Query Language (SPARQL) queries. TogoGenome provides a semantic-faceted search system by gene functional annotation, taxonomy, phenotypes and environment based on the relevant ontologies. TogoGenome also serves as an interface to conduct semantic comparative genomics by which a user can observe pan-organism or organism-specific genes based on the functional aspect of gene annotations and the combinations of organisms from different taxa. The TogoGenome database exhibits a modularized structure, and each module in the report pages is separately served as TogoStanza, which is a generic framework for rendering an information block as IFRAME/Web Components, which can, unlike several other monolithic databases, also be reused to construct other databases. TogoGenome and TogoStanza have been under development since 2012 and are freely available along with their source codes on the GitHub repositories at https://github.com/togogenome/ and https://github.com/togostanza/, respectively, under the MIT license.

Indexed as

Databases, GeneticSemantic WebSoftwareGenomicsHumans

Identifiers

PMID30624651
PMCPMC6323299

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.