GWAS Analyzer: integrating genotype, phenotype and public annotation data for genome-wide association study analysis

Motivation: Genome-wide association studies are beginning to elucidate how our genetic differences contribute to susceptibility and severity of disease. While computational tools have previously been developed to support various aspects of genome-wide association studies, there is currently a need f...

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Detalles Bibliográficos
Autores principales: Fong, Christine, Ko, Dennis C., Wasnick, Michael, Radey, Matthew, Miller, Samuel I., Brittnacher, Mitchell
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820681/
https://www.ncbi.nlm.nih.gov/pubmed/20053839
http://dx.doi.org/10.1093/bioinformatics/btp714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820681/
https://www.ncbi.nlm.nih.gov/pubmed/20053839
http://dx.doi.org/10.1093/bioinformatics/btp714

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