Population genetic analysis of bi-allelic structural variants from low-coverage sequence data with an expectation-maximization algorithm

BACKGROUND: Population genetics and association studies usually rely on a set of known variable sites that are then genotyped in subsequent samples, because it is easier to genotype than to discover the variation. This is also true for structural variation detected from sequence data. However, the g...

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Detalles Bibliográficos
Autores principales: Lucas-Lledó, José Ignacio, Vicente-Salvador, David, Aguado, Cristina, Cáceres, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055234/
https://www.ncbi.nlm.nih.gov/pubmed/24884587
http://dx.doi.org/10.1186/1471-2105-15-163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055234/
https://www.ncbi.nlm.nih.gov/pubmed/24884587
http://dx.doi.org/10.1186/1471-2105-15-163

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