Detecting selection in low-coverage high-throughput sequencing data using principal component analysis

BACKGROUND: Identification of selection signatures between populations is often an important part of a population genetic study. Leveraging high-throughput DNA sequencing larger sample sizes of populations with similar ancestries has become increasingly common. This has led to the need of methods ca...

Descripción completa

Detalles Bibliográficos
Autores principales: Meisner, Jonas, Albrechtsen, Anders, Hanghøj, Kristian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480091/
https://www.ncbi.nlm.nih.gov/pubmed/34587903
http://dx.doi.org/10.1186/s12859-021-04375-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480091/
https://www.ncbi.nlm.nih.gov/pubmed/34587903
http://dx.doi.org/10.1186/s12859-021-04375-2

Ejemplares similares