Evidence map›Paper›PMID 22434847›Full record

ArticleDatabase : the journal of biological databases and curation2012

Ontology searching and browsing at the Rat Genome Database.

Stanley J F Laulederkind, Marek Tutaj, Mary Shimoyama, G Thomas Hayman, Timothy F Lowry, Rajni Nigam, Victoria Petri, Jennifer R Smith, Shur-Jen Wang, Jeff de Pons and 2 more

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Integrated curation and data mining for disease and phenotype models at the Rat Genome Database.Database : the journal of biological databases and curation · 2019
    Article
  4. A Primer for the Rat Genome Database (RGD).Methods in molecular biology (Clifton, N.J.) · 2018
    Article
  5. Article
  6. RegenBase: a knowledge base of spinal cord injury biology for translational research.Database : the journal of biological databases and curation · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Rat Genome Database 2013--data, tools and users.Briefings in bioinformatics · 2013
    Article
  12. Article
  13. Article
  14. Article
  15. PhenoMiner: quantitative phenotype curation at the rat genome database.Database : the journal of biological databases and curation · 2013
    Article
  16. Article
  17. Analysis of disease-associated objects at the Rat Genome Database.Database : the journal of biological databases and curation · 2013
    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

12 authors at 1 institution in 1 country.

Stanley J F LaulederkindHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226-3548, USA. slaulederkind@mcw.edu
Marek Tutaj
Mary Shimoyama
G Thomas Hayman
Timothy F Lowry
Rajni Nigam
Victoria Petri
Jennifer R Smith
Shur-Jen Wang
Jeff de Pons
Melinda R Dwinell
Howard J Jacob
Medical College of Wisconsin · US

Funding

RAT GENOME DATABASER01HL064541 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI ANNE E. KWITEK · 1999 to 2026
$50.0M
Integration of phenotype data from multiple centers using ontologiesR01HL094271 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI DWINELL, MELINDA R · 2010 to 2012
$1.1M
NHLBI NIH HHS HL64541NHLBI NIH HHS R01 HL094271
6 · The paper itself

Abstract

The Rat Genome Database (RGD) is the premier repository of rat genomic and genetic data and currently houses over 40 000 rat gene records, as well as human and mouse orthologs, 1857 rat and 1912 human quantitative trait loci (QTLs) and 2347 rat strains. Biological information curated for these data objects includes disease associations, phenotypes, pathways, molecular functions, biological processes and cellular components. RGD uses more than a dozen different ontologies to standardize annotation information for genes, QTLs and strains. That means a lot of time can be spent searching and browsing ontologies for the appropriate terms needed both for curating and mining the data. RGD has upgraded its ontology term search to make it more versatile and more robust. A term search result is connected to a term browser so the user can fine-tune the search by viewing parent and children terms. Most publicly available term browsers display a hierarchical organization of terms in an expandable tree format. RGD has replaced its old tree browser format with a 'driller' type of browser that allows quicker drilling up and down through the term branches, which has been confirmed by testing. The RGD ontology report pages have also been upgraded. Expanded functionality allows more choice in how annotations are displayed and what subsets of annotations are displayed. The new ontology search, browser and report features have been designed to enhance both manual data curation and manual data extraction. DATABASE URL: http://rgd.mcw.edu/rgdweb/ontology/search.html.

Indexed as

Database Management SystemsDatabases, GeneticGenomeAnimalsHumansMiceMolecular Sequence AnnotationQuantitative Trait LociRatsUser-Computer Interface

Identifiers

PMID22434847
PMCPMC3308169
OpenAlexW2098693458

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.