Sentence examples for sequence maximizing from inspiring English sources

For the given kernel, a concrete procedure is proposed to find the input sequence maximizing the mutual information subject to the input energy constraints.

Each probe of 150 450 bp targets the most conserved (≥ 90% identical over at least 150 bp) non-repetitive region within each coding sequence, maximizing hybridization with common probes to orthologous genes in different strains and species.

The generated parameter sequence maximizes a likelihood based on not only an HMM likelihood but also a global variance likelihood, resulting in an increase of the global variance of the generated parameter trajectories.

This sequence maximizes contrast among grey matter, white matter and cerebrospinal fluid and provides high-resolution delineation of cortical and subcortical structures.

Although 4-fold degenerate sites are more accurate in revealing the mutation rate, their limited numbers in coding sequences maximizes the stochastic noise in the calculation of the GC contents.

In the second, we invert the sequence of the loop region for 19 taxa, by removing and replacing one form of the inversion with the reverse complement of its sequence, to maximize sequence homology across the inversion region.

Coding sequences were manually aligned using Se-AL v2.0a11 (http://tree.bio.ed.ac.uk/software/), and additional sequences were trimmed to correspond with our sequences to maximize sequence homology.

Moreover, we used our computational method to successfully transform a low-expressing DsRed2 mRNA sequence into a high-expressing mRNA sequence by maximizing its translational efficiency through the modification of only eight nucleotides upstream of the start codon.

Sequence capture, which utilizes probes to enrich target sequences (e.g. Bi et al. 2013) (Box  1), offers a compromise between minimizing sequencing costs and maximizing sequence information from target regions of the study organism.

We will identify the optimal local alignment for the observed sequence by maximizing this joint probability.

The proposed method models the probabilistic distribution of the pairwise common structure between the target RNA sequence and each homologous sequence, and maximizes the expected accuracy of the prediction of the target RNA sequence under the combined probabilistic distribution.