Sentence examples for strength of sequences from inspiring English sources

Exact(1)

Since the strength of sequences was estimated based on the genomic overrepresentation (conservation) of their nucleotides (see equation 19), these results suggest that DNA uptake bias alone can explain the genomic overrepresentation of DUESs and some of their mismatched forms.

Similar(59)

We tested statistically whether the strength of sequence convergence among echolocating bats, and between echolocating bats and the bottlenose dolphin, is greater in hearing genes than in other genes (for locus selection, see Methods).

PhastCons is a phylogenetic Hidden Markov Model which evaluates the strength of sequence conservation across species [ 40].

The maximum BLAST score (typically > 200) and Expect-value (typically < 1 × 10-50) were used as indicators of the strength of sequence similarity.

Furthermore, the levels of mCherry and EGFP are comparable for the given bidirectional promoter (intragenic sequence) but not comparable to different sequences indicating differential promoter strength of these sequences (Fig.  4f).

Strengths of Sequence include (a) the ability to customize sequence using options and (b) integration of sequence via events.

This is promising news for further studies of coding variation among individuals, and our ability to combine datasets generated with different methods over time – one of the inherent strengths of sequence-based population genetics.

Randomizing the 29 positions of the strongest sequence in each DNA fragment abolishes the significant dependence of the original uptake values on the strength of these sequences (e.g., Beta = 0.271, t26 = 1.433 and p-level = 0.164).

The transformed log-odds conservation strength of these sequences is recorded as a score in the corresponding track on the UCSC Genome Browser.

Flow values refer to the signal strength of the sequencing reaction (for details on the sequencing chemistry, see Margulies et al., 2005).

The assembled sequences were clustered into 27 groups, based on the strength of these sequence matches across these taxonomic data sets.

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