Population assignment from genotype likelihoods for low‐coverage whole‐genome sequencing data

Population assignment from genotype likelihoods for low‐coverage whole‐genome sequencing data

Abstract Low‐coverage whole‐genome sequencing (WGS) is increasingly used for the study of evolution and ecology in both model and non‐model organisms; however, effective application of low‐coverage WGS data requires the implementation of probabilistic frameworks to account for the uncertainties in g...

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Bibliographic Details
Main Authors: Matthew G. DeSaix, Marina D. Rodriguez, Kristen C. Ruegg, Eric C. Anderson
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Methods in Ecology and Evolution
Subjects:
Fisher information
genetic stock identification
genotype likelihoods
low‐coverage whole‐genome sequencing
next‐generation sequencing
population assignment
Online Access:https://doi.org/10.1111/2041-210X.14286

Internet

https://doi.org/10.1111/2041-210X.14286

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