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Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis
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 phe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534497/ https://www.ncbi.nlm.nih.gov/pubmed/26162703 http://dx.doi.org/10.1007/s00335-015-9582-y |
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author | Bello, Susan M. Smith, Cynthia L. Eppig, Janan T. |
author_facet | Bello, Susan M. Smith, Cynthia L. Eppig, Janan T. |
author_sort | Bello, Susan M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4534497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-45344972015-08-20 Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis Bello, Susan M. Smith, Cynthia L. Eppig, Janan T. Mamm Genome Article 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. Springer US 2015-07-11 2015 /pmc/articles/PMC4534497/ /pubmed/26162703 http://dx.doi.org/10.1007/s00335-015-9582-y Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Bello, Susan M. Smith, Cynthia L. Eppig, Janan T. Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis |
title | Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis |
title_full | Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis |
title_fullStr | Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis |
title_full_unstemmed | Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis |
title_short | Allele, phenotype and disease data at Mouse Genome Informatics: improving access and analysis |
title_sort | allele, phenotype and disease data at mouse genome informatics: improving access and analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534497/ https://www.ncbi.nlm.nih.gov/pubmed/26162703 http://dx.doi.org/10.1007/s00335-015-9582-y |
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