Cargando…
Sampling strategy optimization to increase statistical power in landscape genomics: A simulation‐based approach
An increasing number of studies are using landscape genomics to investigate local adaptation in wild and domestic populations. Implementation of this approach requires the sampling phase to consider the complexity of environmental settings and the burden of logistical constraints. These important as...
Autores principales: | Selmoni, Oliver, Vajana, Elia, Guillaume, Annie, Rochat, Estelle, Joost, Stéphane |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972490/ https://www.ncbi.nlm.nih.gov/pubmed/31550072 http://dx.doi.org/10.1111/1755-0998.13095 |
Ejemplares similares
-
Rapid identification and interpretation of gene–environment associations using the new R.SamBada landscape genomics pipeline
por: Duruz, Solange, et al.
Publicado: (2019) -
Seascape genomics as a new tool to empower coral reef conservation strategies: An example on north‐western Pacific Acropora digitifera
por: Selmoni, Oliver, et al.
Publicado: (2020) -
Indication of spatially random occurrence of Chlamydia-like organisms in Bufo bufo tadpoles from ponds located in the Geneva metropolitan area()
por: Vajana, E., et al.
Publicado: (2018) -
Geonomics: Forward-Time, Spatially Explicit, and Arbitrarily Complex
Landscape Genomic Simulations
por: Terasaki Hart, Drew E, et al.
Publicado: (2021) -
treespace: Statistical exploration of landscapes of phylogenetic trees
por: Jombart, Thibaut, et al.
Publicado: (2017)