Exact(2)
This greedy alignment strategy was developed for comparing highly similar DNA sequences that differ only by sequencing errors, or by equivalent errors from other sources [ 44].
On the basis of our SIRPT-centered protein architecture and sequence similarity data, the following intra/intersequence alignment strategy was played out to identify and typify unique conserved elements in the repeated domains of the vertebrate sacsin proteins.
Similar(58)
A global alignment strategy is suitable for our goal of aligning orthologous TF-encoding gene loci which are assumed to occur in the same order and orientation.
An overview of the alignment strategy is presented in Figure S2.
Another alignment strategy is iterative alignment, where progressive alignments are built and then iteratively refined to attempt to remove errors that are introduced in the growing progressive alignment [23].
When ungapped alignment strategy is chosen, the alignment task is reduced to a much simpler position shift problem, and Mahony et al. found that ungapped alignment works well for most datasets [8].
While it is clear that each alignment strategy is susceptible to varying types and amounts of systematic error, we began by approximating it by using a simple experiment to estimate its effects.
Our alignment strategy is outlined in Figure 22.
As we have shown, in SOAP2, Bowtie, and BWA, the alignment strategy is restrained by the number of mismatches allowed.
Two conformer-based alignment strategies were employed to construct reliable CoMFA models.
Two alignment strategies were used to fit analyzed molecules to a suitable conformational template.
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