Conversely, an alignment that is robust to reversing the sequences supports the original alignment.
Both theoretical deductions and experimental trials have proved that the novel automatic vision-aided alignment system is robust and feasible for achieving precision to the nanometer scale.
Hence, the proposed range-bin alignment method is robust against high levels of noise and clutter.
Despite these limitations, however, our results indicate the ordinal classification system, which is applied independent of alignment properties, is robust.
Anomalous matrices can correct overextension because alignment boundary correction is robust to matrix selection.
But phonetic alignment is less robust than that at the word level.
We find that the complete linkage clustering with the hand curated multiple alignment is very robust with respect to the choice of distance metric.
Our approach is robust to alignment error and uncertainty and can be applied to a variety of biological datasets.
This result is robust to alignment with this highly diverged protein, including reanalysis removing all codons adjacent to predicted INDELS.
Also, although investigators are encouraged to perform similar types of experiments to optimize the alignment conditions for their region of interest, the kmer search and Needlema-Wunsch alignment approach was robust to perturbations in their settings.
