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Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis.
Bello, Susan M; Smith, Cynthia L; Eppig, Janan T.
Afiliação
  • Bello SM; Mouse Genome Informatics, The Jackson Laboratory, Bar Harbor, ME, 04609, USA, susan.bello@jax.org.
Mamm Genome ; 26(7-8): 285-94, 2015 Aug.
Article em En | MEDLINE | ID: mdl-26162703
A core part of the Mouse Genome Informatics (MGI) resource is the collection of mouse mutations and the annotation phenotypes and diseases displayed by mice carrying these mutations. These data are integrated with the rest of data in MGI and exported to numerous other resources. The use of mouse phenotype data to drive translational research into human disease has expanded rapidly with the improvements in sequencing technology. MGI has implemented many improvements in allele and phenotype data annotation, search, and display to facilitate access to these data through multiple avenues. For example, the description of alleles has been modified to include more detailed categories of allele attributes. This allows improved discrimination between mutation types. Further, connections have been created between mutations involving multiple genes and each of the genes overlapping the mutation. This allows users to readily find all mutations affecting a gene and see all genes affected by a mutation. In a similar manner, the genes expressed by transgenic or knock-in alleles are now connected to these alleles. The advanced search forms and public reports have been updated to take advantage of these improvements. These search forms and reports are used by an expanding number of researchers to identify novel human disease genes and mouse models of human disease.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_geracao_evidencia_conhecimento Assunto principal: Fenótipo / Software / Genoma / Genômica / Alelos Limite: Animals / Humans Idioma: En Revista: Mamm Genome Assunto da revista: GENETICA Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_geracao_evidencia_conhecimento Assunto principal: Fenótipo / Software / Genoma / Genômica / Alelos Limite: Animals / Humans Idioma: En Revista: Mamm Genome Assunto da revista: GENETICA Ano de publicação: 2015 Tipo de documento: Article
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