Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system

BACKGROUND: Structured association mapping is proving to be a powerful strategy to find genetic polymorphisms associated with disease. However, these algorithms are often distributed as command line implementations that require expertise and effort to customize and put into practice. Because of the...

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Detalles Bibliográficos
Autores principales: Curtis, Ross E, Goyal, Anuj, Xing, Eric P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342145/
https://www.ncbi.nlm.nih.gov/pubmed/22471660
http://dx.doi.org/10.1186/1471-2156-13-24

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342145/
https://www.ncbi.nlm.nih.gov/pubmed/22471660
http://dx.doi.org/10.1186/1471-2156-13-24

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