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RAxML used the GTRGAMMA model with automated determination of the best amino acid substitution model (i.e. the model with the highest likelihood score on the starting tree), random number seed and distinct starting trees.
In each case, the analysis with the highest likelihood score is reported.
Model M3 has the highest likelihood score for both cattle and buffalo parasites.
One hundred independent runs were performed, each starting with a randomized maximum parsimony tree, and topology with highest likelihood score was chosen.
The JTT model [45] yielded the highest likelihood score and therefore was used in ML inference taking into account empirical amino acid frequencies calculated directly from the data in hand (Document S2).
The tree with the highest likelihood score was taken to be the ML tree.
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Thus, assigning a high likelihood score for gene pairs that co-express highly but are not in protein biosynthesis would be misleading.
As they were identical when considering nodes with bootstrap values ≥50, we present the RAxML tree that garnered a higher likelihood score.
If a higher likelihood score was obtained for a model incorporating positive selection than a null model without positive selection, this constitutes evidence for positive selection.
Best-fitting model of chromosome number evolution with a high likelihood score suggests that the Vellinae core showing x = 17 chromosomes arose by duplication events from a recent x = 8 ancestor shared by C. annua.
In particular, the best tree obtained based on the new matrix of amino acid replacement (MtPan) was preferred over those obtained using previously available matrices (MtArt and MtRev) because of its higher likelihood score.
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