Evidence map›Paper›PMID 21930503›Full record

ArticleDatabase : the journal of biological databases and curation2011

BioMart as an integration solution for the International Knockout Mouse Consortium.

Darren J Oakley, Vivek Iyer, William C Skarnes, Damian Smedley

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. BioGPS and GXD: mouse gene expression data-the benefits and challenges of data integration.Mammalian genome : official journal of the International Mammalian Genome Society · 2012
    Article
  4. The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.Mammalian genome : official journal of the International Mammalian Genome Society · 2012
    Article
  5. BioMart Central Portal: an open database network for the biological community.Database : the journal of biological databases and curation · 2011
    Article
  6. The Reactome BioMart.Database : the journal of biological databases and curation · 2011
    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

4 authors.

Darren J OakleyThe Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH.
Vivek Iyer
William C Skarnes
Damian Smedley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we describe the use of the BioMart data management system to provide integrated access to International Knockout Mouse Consortium (IKMC) data and other related mouse resources. The IKMC is currently mutating all mouse protein-coding genes in embryonic stem (ES) cells using gene targeting and gene trapping approaches. The BioMart portal allows researchers to identify and obtain IKMC knockout vectors, ES cells and mice for genes of interest. Gene annotation, expression, phenotype and disease data is also integrated from external BioMarts, allowing selection of IKMC products by a wide variety of criteria. These products are invaluable for researchers involved in the elucidation of gene function and the role of individual genes in human disease. Here, we describe these datasets in more detail and illustrate the functionality of the portal using several examples.

Indexed as

Database Management SystemsGene Knockout TechniquesAnimalsBiomedical ResearchDatabases, GeneticEmbryonic Stem CellsHumansInternational CooperationInternetMiceMice, KnockoutMolecular Sequence AnnotationPhenotypeSocietiesUser-Computer Interface

Identifiers

PMID21930503
PMCPMC3263594

What OpenQuestion holds

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LicenceCC BY-NC
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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.