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In the study of evolution, estimates of divergence time can provide crucial information on speciation events (Barraclough and Vogler 2000; Barraclough and Nee 2001; Nee 2001; Nichols 2001; Espert and Burghardt 2010).
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To better explain the patterns of macro-evolution, estimates of the evolutionary rates were considered extremely useful.
Priors for the mtDNA and ITS datasets were as specified previously, but we used jModeltest to produce new best-fit models of evolution estimated for the ingroup only.
On the amino-acid data set, we used the WAG empirical model of evolution, estimating the proportion of invariant sites by maximising the likelihood, and assuming a gamma shape distribution of rates of substitution among sites with a value of 2 for the gamma parameter.
Using the neutral rate of evolution (estimated by analyzing multiple sequence alignment of nonfunctional regions of the four species), we computed the P-value of the conservation of ZNF652 subfamily (similar to [ 37]).
Each site within the MSA was classified according to rates of evolution (estimated using ML based on a fixed phylogenetic tree).
Maximum likelihood analyses were performed using the best-fit models of molecular evolution estimated by Modeltest [83].
Linear and non-linear stability analyses of the evolution equation give estimates of the emerging pattern wavelength and spatial symmetry.
Evolutionary ecologist Andrew Hendry of McGill University in Montreal, Canada, agrees that ignoring evolution may inflate estimates of extinction rates caused by climate change.
In what follows we analyze the consequences of purging on the evolution of different estimates of inbreeding and on the loss of neutral genetic diversity.
Such estimates enable the study of base composition evolution by providing estimates of base composition not only for individual lineages but also for ancestral nodes and at equilibrium.
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