Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies

BACKGROUND: Automated candidate gene prediction systems allow geneticists to hone in on disease genes more rapidly by identifying the most probable candidate genes linked to the disease phenotypes under investigation. Here we assessed the ability of eight different candidate gene prediction systems...

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Detalles Bibliográficos
Autores principales: Teber, Erdahl T, Liu, Jason Y, Ballouz, Sara, Fatkin, Diane, Wouters, Merridee A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648789/
https://www.ncbi.nlm.nih.gov/pubmed/19208173
http://dx.doi.org/10.1186/1471-2105-10-S1-S69

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648789/
https://www.ncbi.nlm.nih.gov/pubmed/19208173
http://dx.doi.org/10.1186/1471-2105-10-S1-S69

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