The phrase "artificial alignment" is correct and usable in written English.
It can be used in contexts discussing technology, machine learning, or any situation where alignment is created or influenced by artificial means.
Example: "The researchers focused on achieving artificial alignment between the AI's objectives and human values."
Alternatives: "synthetic alignment" or "man-made alignment".
I realised that this artificial alignment of very different economies was going to end up like a Procrustean bed: those that were too long to fit would have their feet chopped off, and the others painfully stretched.
It is difficult to know which model of sequence evolution should be used on this artificial alignment.
The alignment of noisy images to a given reference can be affected by noise correlation with the reference, resulting in an artificial alignment, which prevents the density map from reaching high resolution.
To avoid artificial alignment errors, we used Gblocks v.0.19b [ 80] with the following settings to remove ambiguous alignments: 26 minimum conserved positions, 42 minimum flanking positions, 8 maximum non-conserved positions, and a minimum length of a block of 5 while allowing gap positions in half.
Artificial alignments were produced with EVOLVER [ 31] under the null model of "local relaxation".
To support the idea of an ancestral residue, the set of artificial alignments was generated in the following way.
The alignment columns in the alignments of each of these 100 genes were sampled with replacement to create a set of artificial alignments with the same lengths as the original alignments.
We generated artificial alignments by simulating sequence evolution along the tree of the original sequences using the parameters of the null models (in the absence of positive selection) for all genes.
A performance test on 15x and 20x artificial test alignment sets shows a better performance of MethylExtract in comparison to BiSNP but only with respect to specificity, while BiSNP has the better sensitivity.
In the former case all alignments were concatenated sequentially into an artificial super-alignment that was then analysed by the Neighbour-Joining algorithm implemented in MEGA6 [ 33].
To address this, we generated a set of artificial sequence alignments that preserve codon usage and hence nucleotide bias.
