Evidence map›Paper›PMID 21076152›Full record

ArticleNucleic acids research2011

The RIKEN integrated database of mammals.

Hiroshi Masuya, Yuko Makita, Norio Kobayashi, Koro Nishikata, Yuko Yoshida, Yoshiki Mochizuki, Koji Doi, Terue Takatsuki, Kazunori Waki, Nobuhiko Tanaka and 18 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. The use of foundational ontologies in biomedical research.Journal of biomedical semantics · 2023
    Review
  2. Asian Mouse Mutagenesis Resource Association (AMMRA): mouse genetics and laboratory animal resources in the Asia Pacific.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  3. Review
  4. CLO: The cell line ontology.Journal of biomedical semantics · 2014
    Article
  5. Article
  6. Computational tools for comparative phenomics: the role and promise of ontologies.Mammalian genome : official journal of the International Mammalian Genome Society · 2012
    Review
  7. Article
  8. The Units Ontology: a tool for integrating units of measurement in science.Database : the journal of biological databases and curation · 2012
    Article
  9. Article
  10. Article
  11. 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

28 authors.

Hiroshi MasuyaRIKEN BioResource Center, Tsukuba, Japan. toyoda@base.riken.jp
Yuko Makita
Norio Kobayashi
Koro Nishikata
Yuko Yoshida
Yoshiki Mochizuki
Koji Doi
Terue Takatsuki
Kazunori Waki
Nobuhiko Tanaka
Manabu Ishii
Akihiro Matsushima
Satoshi Takahashi
Atsushi Hijikata
Kouji Kozaki
Teiichi Furuichi
Hideya Kawaji
Shigeharu Wakana
Yukio Nakamura
Atsushi Yoshiki
Takehide Murata
Kaoru Fukami-Kobayashi
Sujatha Mohan
Osamu Ohara
Yoshihide Hayashizaki
Riichiro Mizoguchi
Yuichi Obata
Tetsuro Toyoda

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The RIKEN integrated database of mammals (http://scinets.org/db/mammal) is the official undertaking to integrate its mammalian databases produced from multiple large-scale programs that have been promoted by the institute. The database integrates not only RIKEN's original databases, such as FANTOM, the ENU mutagenesis program, the RIKEN Cerebellar Development Transcriptome Database and the Bioresource Database, but also imported data from public databases, such as Ensembl, MGI and biomedical ontologies. Our integrated database has been implemented on the infrastructure of publication medium for databases, termed SciNetS/SciNeS, or the Scientists' Networking System, where the data and metadata are structured as a semantic web and are downloadable in various standardized formats. The top-level ontology-based implementation of mammal-related data directly integrates the representative knowledge and individual data records in existing databases to ensure advanced cross-database searches and reduced unevenness of the data management operations. Through the development of this database, we propose a novel methodology for the development of standardized comprehensive management of heterogeneous data sets in multiple databases to improve the sustainability, accessibility, utility and publicity of the data of biomedical information.

Indexed as

Databases, FactualDatabases, GeneticAnimalsHumansInternetMammalsMiceSystems IntegrationUser-Computer Interface

Identifiers

PMID21076152
PMCPMC3013680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.