Cargando…
Flexible Mixture Model Approaches That Accommodate Footprint Size Variability for Robust Detection of Balancing Selection
Long-term balancing selection typically leaves narrow footprints of increased genetic diversity, and therefore most detection approaches only achieve optimal performances when sufficiently small genomic regions (i.e., windows) are examined. Such methods are sensitive to window sizes and suffer subst...
Autores principales: | Cheng, Xiaoheng, DeGiorgio, Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820363/ https://www.ncbi.nlm.nih.gov/pubmed/32462188 http://dx.doi.org/10.1093/molbev/msaa134 |
Ejemplares similares
-
Detection of Shared Balancing Selection in the Absence of Trans-Species Polymorphism
por: Cheng, Xiaoheng, et al.
Publicado: (2019) -
BalLeRMix
+: mixture model approaches for robust joint identification of both positive selection and long-term balancing selection
por: Cheng, Xiaoheng, et al.
Publicado: (2021) -
Uncovering Footprints of Natural Selection Through Spectral Analysis of Genomic Summary Statistics
por: Arnab, Sandipan Paul, et al.
Publicado: (2023) -
A Likelihood Approach for Uncovering Selective Sweep Signatures from Haplotype Data
por: Harris, Alexandre M, et al.
Publicado: (2020) -
Tensor Decomposition-based Feature Extraction and Classification to Detect Natural Selection from Genomic Data
por: Amin, Md Ruhul, et al.
Publicado: (2023)