Sentence examples for strategy for computational from inspiring English sources

Integration of low- and high-resolution eQTL data is a feasible strategy for computational fine mapping of causal genes.

Identifying enriched sequence patterns due to convergent evolution in non-homologous proteins has proven to be a successful strategy for computational SLiM prediction.

In this Account, the main strategies for computational design and experimental production of these two types of RNA NPs are discussed.

Following quality control procedures, available biological knowledge can be used to help guide both statistical and computational analyses as reviewed in Section 3. Given the complexity of the genotype phenotype mapping relationship, we recommend two complementary strategies for computational analysis.

The "approximate addition" (estimation) strategy involves rounding both operands to the nearest multiples of 10 before adding them, one of the most frequently used strategies for computational estimation (Levine 1982; Schoen et al. 1990; Lemaire and Lecacheur 2002).

The construction of conventional logic gates as a molecular computer however, does not imply that logic gates are a viable strategy for implementing computational nucleic acids.

Having established our strategy for harnessing computational power through automated analytical algorithms, we will devote the remainder of this section to several key strategies for integrating human-guided scientific analysis at scale in the materials sciences.

Hence, we applied this strategy for all computational efficiency comparisons considered in this paper.

MaxSAT conversion is a well-known strategy for many computational biology problem such as SNP Tagging (Choi et al., 2008).

The applied strategies for reducing computational cost not only shortened the solving time but also improved the solution quality.

The extremely conserved "cloverleaf structure" combined with the preserved localization of functional sequence features on it [ 72, 73] have made it easy, early on, to devise strategies for the computational identification of these genes from a large variety of organisms.