Literature DB >> 27930808

Searching the Mouse Genome Informatics (MGI) Resources for Information on Mouse Biology from Genotype to Phenotype.

David R Shaw1.   

Abstract

The Mouse Genome Informatics (MGI) resource provides the research community with access to information on the genetics, genomics, and biology of the laboratory mouse. Core data in MGI include gene characterization and function, phenotype and disease model descriptions, DNA and protein sequence data, gene expression data, vertebrate homologies, SNPs, mapping data, and links to other bioinformatics databases. Semantic integration is supported through the use of standardized nomenclature, and through the use of controlled vocabularies such as the mouse Anatomical Dictionary, the Mammalian Phenotype Ontology, and the Gene Ontologies. MGI extracts and organizes data from primary literature. MGI data are shared with and widely displayed from other bioinformatics resources. The database is updated weekly with curated annotations, and regularly adds new datasets and features. This unit provides a guide to using the MGI bioinformatics resource. © 2016 by John Wiley & Sons, Inc.
Copyright © 2016 John Wiley & Sons, Inc.

Entities:  

Keywords:  alleles; expression; function; genes; genome; mouse; phenotypes

Mesh:

Year:  2016        PMID: 27930808      PMCID: PMC5147750          DOI: 10.1002/cpbi.18

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  8 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

Review 2.  The gene expression database for mouse development (GXD): putting developmental expression information at your fingertips.

Authors:  Constance M Smith; Jacqueline H Finger; James A Kadin; Joel E Richardson; Martin Ringwald
Journal:  Dev Dyn       Date:  2014-07-04       Impact factor: 3.780

3.  An internet-accessible database of mouse developmental anatomy based on a systematic nomenclature.

Authors:  J L Bard; M H Kaufman; C Dubreuil; R M Brune; A Burger; R A Baldock; D R Davidson
Journal:  Mech Dev       Date:  1998-06       Impact factor: 1.882

4.  MouseMine: a new data warehouse for MGI.

Authors:  H Motenko; S B Neuhauser; M O'Keefe; J E Richardson
Journal:  Mamm Genome       Date:  2015-06-20       Impact factor: 2.957

5.  The International Mouse Strain Resource (IMSR): cataloging worldwide mouse and ES cell line resources.

Authors:  Janan T Eppig; Howie Motenko; Joel E Richardson; Beverly Richards-Smith; Cynthia L Smith
Journal:  Mamm Genome       Date:  2015-09-15       Impact factor: 2.957

6.  The Mouse Genome Database (MGD): facilitating mouse as a model for human biology and disease.

Authors:  Janan T Eppig; Judith A Blake; Carol J Bult; James A Kadin; Joel E Richardson
Journal:  Nucleic Acids Res       Date:  2014-10-27       Impact factor: 16.971

7.  The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.

Authors:  Cynthia L Smith; Janan T Eppig
Journal:  Mamm Genome       Date:  2012-09-09       Impact factor: 2.957

8.  Manual Gene Ontology annotation workflow at the Mouse Genome Informatics Database.

Authors:  Harold J Drabkin; Judith A Blake
Journal:  Database (Oxford)       Date:  2012-10-29       Impact factor: 3.451

  8 in total
  2 in total

1.  Determining the role of SGLT2 inhibition with Empagliflozin in the development of diabetic retinopathy.

Authors:  Jennifer Matthews; Lakshini Herat; Jennifer Rooney; Elizabeth Rakoczy; Markus Schlaich; Vance B Matthews
Journal:  Biosci Rep       Date:  2022-03-31       Impact factor: 3.840

2.  Genome-wide pathogenesis interpretation using a heat diffusion-based systems genetics method and implications for gene function annotation.

Authors:  Yuan Quan; Qing-Ye Zhang; Bo-Min Lv; Rui-Feng Xu; Hong-Yu Zhang
Journal:  Mol Genet Genomic Med       Date:  2020-09-01       Impact factor: 2.183

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.