Sentence examples for between two sequences in from inspiring English sources

Let us consider a set-maximal match between two sequences in X from k′ to k.

We therefore propose an alternative estimator of the evolutionary distance between two sequences in terms of the number N of spaced-word matches between them.

In bioinformatics, distance matrices are used to represent protein structures in a coordinate-independent manner, as well as the pairwise distances between two sequences in sequence space.

Soon after, the Smith Waterman local alignment algorithm [ 62] was developed to recognize the better aligned sub-regions between two sequences in order to show meaningful biological relevance.

There were no significant sequence differences except for one non-synonymous SNV in CHS9 of the I locus, which cannot affect the regulation of gene silencing mechanisms between two sequences in this region.

Mapping sequences by parts is a simple and effective way to find out similarities between two sequences in the presence of evolutionary events that do not preserve their linear order.

Of 76 observations, only 7 were best explained through the equitable exchange of homologous sequence between two sequences (shown in Additional file 7).

The Tajima's D test estimates the difference between η (total number of mutations that occurred in the entire genealogy) and πn (average number of nucleotide differences between two sequences) whereas in the Fu & Li's D and F tests the difference used is between the ηi (numbers of mutations in internal branches) and ηe (numbers of mutations in external branches) or between ηe and πn.

Although this algorithm produces an optimal alignment between two sequences and runs in time polynomial in the length of the two sequences, it is computationally expensive for long sequences, and, in many cases, overlooks alignments that are suboptimal but may provide useful biological information.

We draw an edge to represent the alignment between two sequences or subsequences in different proteins.

One may overestimate the phylogenetic distance between two sequences that overlap in a fast-evolving portion of the alignment and underestimate the phylogenetic distance between two sequences that overlap in only the slowly-evolving regions.