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Because duplicated noncoding regions are particularly difficult to align and incorrect alignment can lead to false inference about evolutionary events, conservative quality filtering of sequence alignments was an essential component of our analysis.
Generally, the linear alignment can lead to the formation of one-dimensional nanostructures (nanorods or nanowires) mostly.
Deviation of the cut surface from the ideal cutting plane alignment can lead to malpositioning of the components and hence an undesirable load distribution, resulting in loosening, and ultimately failure of the surgery [7].
We analyze these sequences together with those from 15 other species of Gentianaceae and show that typical simple methods of sequence alignment can lead to misassignment of conspecifics and incorrect assessment of relationships.
We have found that using the DAA and MA-2 for implant alignment can lead to placement of the component in extension and thus cause notching resulting in a different footprint shape (Fig. 5).
Automated sequence alignment can lead to an increased incidence of false positives [ 70, 71], so we required all of our putative orthologue sets to have full-length coverage of known M. musculus protein coding sequence.
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Since sequence alignments based on structural alignments have been long considered to be the gold standard, it is reasonable to expect that substitution matrices based on structural alignments can lead to better performance in detecting remote homologs.
More recently, Fletcher and Yang [40] showed that alignment errors can lead to a high number of false positives for the branch-site test of positive selection.
However, noisy sequence data (e.g. base call or alignment errors) can lead to imperfect partitioning of the read pair set.
Thus ignoring alignment ambiguity can lead to exaggerated support for branches and bias towards the guide tree, especially when indel information is used.
In some cases, a variant near the end of a read can cause mis-alignments that can lead to a false-positive variant call in addition to a false-negative.
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