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In our genetics application, f i represents alleles of the founders at slot i, and f i being independent of f i −1 means that there is linkage equilibrium between the markers at slot i and i − 1.
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As a result of these characteristics, microsatellites have become the most favoured genetic markers for plant breeding and genetics applications such as, assessment of genetic diversity, constructing framework genetic maps, mapping of useful genes, marker aided selection and comparative mapping studies [ 2, 3].
Additionally, the identification of SSRs provided plenty of genetic makers for molecular breeding and genetics applications in this species.
Importantly, insertional mutagenesis could be used to generate pools of randomly genetically-altered cells or organisms for forward genetics applications.
In order to identify small molecular probes that are suitable for chemical genetics applications, molecular diversity needs to be viewed in a way that partly differs from principles guiding conventional library design.
Canonical correlation analysis (CCA), a bi-multivariate method, has been applied to imaging genetics applications.
However, g is typically high-dimensional in genetics applications, g may high-dimensional inm 1000 to 1,000,000.
Firstly, the probit link fits directly in the liability model (Sham 1998), which is commonly used in biometrical genetics applications.
N-ethyl-N-nitrosourea (ENU) mutagen has become the method of choice for inducing random mutations for forward genetics applications.
These properties predict that UniformMu FSTs will be a resource of sequence-indexed mutations that is simple to use for reverse genetics applications.
This realization is reflected in other quantitative genetics applications [ 11, 12] that derived various metrics to integrate these two components of computational efficiency.
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