Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes

Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most li...

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Detalles Bibliográficos
Autores principales: Tiffin, Nicki, Adie, Euan, Turner, Frances, Brunner, Han G., van Driel, Marc A., Oti, Martin, Lopez-Bigas, Nuria, Ouzounis, Christos, Perez-Iratxeta, Carolina, Andrade-Navarro, Miguel A., Adeyemo, Adebowale, Patti, Mary Elizabeth, Semple, Colin A. M., Hide, Winston
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Survey and Summary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1475747/
https://www.ncbi.nlm.nih.gov/pubmed/16757574
http://dx.doi.org/10.1093/nar/gkl381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1475747/
https://www.ncbi.nlm.nih.gov/pubmed/16757574
http://dx.doi.org/10.1093/nar/gkl381

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