Sentence examples for design sequences for a given from inspiring English sources

All recent RNA inverse folding tools are able to design sequences for a given structure with or without sequence constraints.

In this paper, we present a computationally efficient method for ranking the residue sites in a given native-state structure, which enables us to design sequences for a chosen structure.

Computational design of sequences for a given structure is generally studied by exhaustively enumerating the sequence space or by searching in such a large space, which is prohibitively expensive.

However, when there could be enough shRNA sequences designed for a given gene, this algorithm with the default stringent setting promises a good probability for functional shRNAs.

On the other hand, to optimize the site that mediate maximal knockdown effects, two to three potential target sequences for a given gene should be designed with mFold software and selected based on the predicted secondary structure and ΔG.

Many comparisons need to be done when searching similar (homologous) sequences for a given query sequence in these databases.

Summarizing, the capability of antaRNA to reliably produce highly diverse sequences for a given structure, coupled with the precise GC targeting, will help to explore the sequence space for RNA design problems.

We call these the source sequences for a given simulation.

A further approximation of this model allows to design analytically the optimally stable sequence for a given fold.

The first application is the RNA design problem, where the goal is to find the nucleotide sequence for a given secondary structure.

Since the success and yield of phenotype sequencing is limited fundamentally by the number of strains sequenced, the primary goal of phenotype sequencing design optimization is to maximize the number of strains that can be sequenced for a given experiment cost, i.e. to reduce the cost per strain.