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In the absence of an analytical description for the HDE, it can be computed numerically by generating, in any moment in time, multiple branches of a given simulation, corresponding to different values of the conductance of an applied synaptic event.
The EPA initially places a large number of query sequences (short reads) into the branches of a given reference phylogeny.
We use TBEST in the following to identify most detailed significant partitions of the data into branches of a given hierarchical tree.
The Bn-Bs software implements a modified method from the original [ 60] by taking into account the transition bias for estimating synonymous and nonsynonymous substitutions along the branches of a given tree.
In brief, this algorithm (Huerta-Cepas et al. 2007) uses the level of species overlap between the two branches of a given node to define a duplication (SOS ≥ 0.0) or a speciation (SOS = 0.0).
Test 1 identified genes under positive selection in any or all of the branches of a given phylogeny while Test 2 identified genes under positive selection in the four clades of the whole-genome (species) tree.
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The bulk modulus of the reloading branch of a given composition depends almost linearly on the pressure magnitude.
This is possible because we want to test for positive selection on each branch of a given phylogeny.
In CodeML, the test is usually applied iteratively and independently to each branch of a given phylogenetic tree (Anisimova and Yang, 2007; Studer et al., 2008).
In our case, the independent random variables are from rows of the matrix B', where each variable corresponds to the normalized length of a branch for a given gene tree.
A set of five SBSTDG generators is considered and the aim is to assist a hypothetical test engineer in elucidating good generators to fulfil the branch testing of a given programme.
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