The phrase "alignment of the data" is correct and usable in written English.
It can be used in contexts related to data analysis, data management, or ensuring consistency among datasets.
Example: "The alignment of the data is crucial for accurate reporting and analysis in our research."
Alternatives: "data synchronization" or "data consistency".
The anchored ITS alignment of the data set using SATé featured 296 taxa and 1,094 aligned positions, including 140 constant characters, 75 parsimony-uninformative changes, and 879 (80%) parsimony-informative positions (Fig. 4).
Correct alignment of the data, i.e., calibration of the gap g, was crucial and limited the precision of the measurements.
In this study, we have performed CoMFA studies on a training set of arylpiperazines (high affinity 5-HT1A receptor ligands) and to produce an effective alignment of the data set, a pharmacophore model was produced using Galahad.
Training was an iterative process alternating between rounds of updating NN parameters using backpropagation and reestimating the soft targets used for training by performing a soft alignment of the data and reference transcription using the forward-backward algorithm given the current NN.
The multi-array comparisons that were undertaken involved the complementary approaches of direct alignment of the data sets in the context of each chromosome (Figure 5A and Figure S1), as well as comparison of the data sets using the Genespring Venn Analysis tool (Figure 6).
Thus, the necessity for an accurate alignment of the data cannot be overstressed.
Shape-based alignments of the data sets in each conformer ensemble were conducted using OEChem [31] and the OEShape toolkit (OpenEye Scientific Software).
It is a simple, easy to use computer application that generates similarity/identity matrices for protein sequences without needing pre-alignment of the data [ 54].
Compared to the small data set, the alignment of the large data set contains more taxa, more genes, but a smaller fraction of genes present per taxon.
To calculate the relative error rates in the PacBio data from the BLAT alignment of the PacBio data against the chloroplast consensus sequence, the number of mismatches in the alignment was summed and divided by the total number of nucleotides in the alignment using a custom Python script (Additional file 2).
Alignment of the rht1 data set was unproblematic, but alignment of the sd1 data set showed that the three tef haplotypes contained short regions of sequence that were markedly divergent from the conserved positions in the other sequences.
