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Therefore, in this paper, we applied basic absolute alignment methods: the fingerprint images are aligned according to a standard core point position; the face images are aligned according to a set of four standard landmarks, that is, eyes, nose and mouth.
The analysis was performed on the Phylogeny.fr platform [ 55] and comprised the following steps: (i) sequences were aligned with T-Coffee (v6.85) [ 53] with the following pair-wise alignment methods: the 10 best local alignments (Lalign_pair) and an accurate global alignment (slow_pair).
For a broad introduction to image alignment methods, the related literature has been reviewed on several occasions [9, 10].
All conclusions presented in this work are robust relative to the alignment methods, the alignment processing, the phylogeny reconstruction methods, and the parameters used.
On the other hand, when using the real data to evaluate network alignment methods, the data quality and completeness of real biological networks should be considered.
For local alignment methods, the difficulty is less severe as some local alignments can be evaluated by their agreement with known protein complexes.
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With the kernel alignment method, the alignment between each feature and the ideal kernel is calculated.
In the sequence alignment method, the prediction was carried out by assigning the query peptide to the category of the peptide that has the highest sequence similarity with the query peptide.
Due to the limitation of the sequence alignment method, the feature selection method was introduced in [ 9] to predict the remaining sequences.
I investigated the accuracy and speed of the various alignment methods when the true best template sequence was selected for each candidate sequence (Tables 3 and S3).
Figure 18 presents the results provided by the proposed and the global range alignment methods for the range profiles shown in Figure 17.
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