An improved method for predicting the accuracy of genetic stock identification
By Eric C. Anderson, Robin S. Waples, Steven T. Kalinowski. 2008
237 citations recorded by the source corpus.
Subfields: Genetics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/259d3a5db4d7c12b118c9aa008636bca4cdceab4
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In Genetics
In Nature and Landscape Conservation
Citations in the corpus
- Fine-scale spatial and temporal genetic structure of Atlantic cod off the Atlantic coast of the USA (2010, methodology): “To determine whether juveniles could be assigned to their population of origin, mixture analysis was performed by means of the conditional maximum likelihood approach of ONCOR (Anderson et al. 2008).”
- Integrating genetic data into management of marine resources: how can we do it better? (2008, background): “For example, GSI proponents have sometimes failed to realize that computer simulations can lead to overly optimistic estimates of the power of GSI to resolve mixtures of specific salmon populations (see Anderson et al. 2008), which can erode credibility.”
- Single-Nucleotide Polymorphisms (SNPs) under Diversifying Selection Provide Increased Accuracy and Precision in Mixed-Stock Analyses of Sockeye Salmon from the Copper River, Alaska (2011, methodology): “( 2008 ) describe the potential bias associated with the PB-R method for 100% simulations.”