Evidence map›Paper›PMID 17135206›Full record

ArticleNucleic acids research2007

The mouse genome database (MGD): new features facilitating a model system.

Janan T Eppig, Judith A Blake, Carol J Bult, James A Kadin, Joel E Richardson, Mouse Genome Database Group

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. [Genetic basis of chronic nonbacterial osteomyelitis].Zeitschrift fur Rheumatologie · 2026
    Review
  2. Article
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  6. Review
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  10. Orthology for comparative genomics in the mouse genome database.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Review
  11. Article
  12. Article
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  14. Article
  15. Article
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  20. Article

6 more citing papers are in PubMed but not listed here.

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

6 authors.

Janan T EppigThe Jackson Laboratory 600 Main Street, Bar Harbor, ME 04609, USA.
Judith A Blake
Carol J Bult
James A Kadin
Joel E Richardson
Mouse Genome Database Group

Funding

SOFTWARE AND DATABASE SYSTEM DEVELOPMENTP41HG000330 · NHGRI · JACKSON LABORATORY · PI EPPIG, JANAN T. · 1995 to 2010
$72.1M
MULTI-LEVEL ANALYSIS AND DISPLAY OF MOUSE GENOME DATAP01HG000330 · NHGRI · JACKSON LABORATORY · PI EPPIG, JANAN T. · 1990 to 1994
–
NHGRI NIH HHS HG000330NHGRI NIH HHS P41 HG000330
6 · The paper itself

Abstract

The mouse genome database (MGD, http://www.informatics.jax.org/), the international community database for mouse, provides access to extensive integrated data on the genetics, genomics and biology of the laboratory mouse. The mouse is an excellent and unique animal surrogate for studying normal development and disease processes in humans. Thus, MGD's primary goals are to facilitate the use of mouse models for studying human disease and enable the development of translational research hypotheses based on comparative genotype, phenotype and functional analyses. Core MGD data content includes gene characterization and functions, phenotype and disease model descriptions, DNA and protein sequence data, polymorphisms, gene mapping data and genome coordinates, and comparative gene data focused on mammals. Data are integrated from diverse sources, ranging from major resource centers to individual investigator laboratories and the scientific literature, using a combination of automated processes and expert human curation. MGD collaborates with the bioinformatics community on the development of data and semantic standards, and it incorporates key ontologies into the MGD annotation system, including the Gene Ontology (GO), the Mammalian Phenotype Ontology, and the Anatomical Dictionary for Mouse Development and the Adult Anatomy. MGD is the authoritative source for mouse nomenclature for genes, alleles, and mouse strains, and for GO annotations to mouse genes. MGD provides a unique platform for data mining and hypothesis generation where one can express complex queries simultaneously addressing phenotypic effects, biochemical function and process, sub-cellular location, expression, sequence, polymorphism and mapping data. Both web-based querying and computational access to data are provided. Recent improvements in MGD described here include the incorporation of single nucleotide polymorphism data and search tools, the addition of PIR gene superfamily classifications, phenotype data for NIH-acquired knockout mice, images for mouse phenotypic genotypes, new functional graph displays of GO annotations, and new orthology displays including sequence information and graphic displays.

Indexed as

Databases, GeneticGenomicsAnimalsComputer GraphicsDisease Models, AnimalGenotypeInternetMiceMice, KnockoutModels, AnimalPhenotypePolymorphism, Single NucleotideProteinsSequence HomologySystems IntegrationUser-Computer InterfaceProteins

Identifiers

PMID17135206
PMCPMC1751527

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.