According to the above analysis, the unique significant difference between samples A and B is whether the heating-induced intense convection is present or not, so it is convincing to ascribe the reason of the much higher SWCNT alignment density on sample B to the heating-induced intense convection process, and thus it is forceful to say heating can enhance the DEP process.
We can explain this unpredicted behaviour by the fact that reducing the searching space allows the probabilistic searching strategy of GLAM2 to find, with much higher probability, a multiple alignment that is closer to the optimal solution.
The gapped extension usually commences from the seed to the partial alignment, since the score of the alignment with the seed is typically much higher than that of the partial alignment.
It is interesting that for the anticodon arm of this tRNA, BLAST returned many significant alignments with tRNA-Trp (= complement to tRNA-Ser2), and the scores of these alignments were much higher than for tRNA-Ser2 (16 versus 11 matches).
They find the alignments with much higher biological similarity at the cost of slightly lower structural similarity than MI-GRAAL, while the biological similarity scores are even comparable to the BLAST based methods.
The predicted results are shown in Table 4. From the table, we can see that the prediction Sn by sequence alignment method is much higher than the Sn by feature selection method.
Because of the shortness of the segments and their high divergence, HHpred E-values for many repeat alignments will be much higher than one would find acceptable in full-length protein/domain structure prediction.
The validation rates of SNPs detected from both BWA and Bowtie alignments ranged from 33%-77.833%-77.8%were much higher than the validation rate of SNPs detected from Bowtie alignments alone.
The bilayer scaffolds demonstrated a gradual variation in through-thickness porosity and fiber alignment and an average porosity much higher than that of conventionally electrospun scaffolds (controls) with randomly distributed fibers.
The cost associated with Cons is much higher as we need to compute all the alignments for all protein isoform combinations to select the one with the highest sequence conservation.
