Sentence examples for evolved complexity from inspiring English sources

This analysis highlights the evolved complexity of codon usage and challenges the scientific bases for codon optimization.

Many of the novel miRNAs discovered in higher species are differentially expressed in developing tissues, supporting the notion that miRNAs may have a key role in the evolved complexity of higher mammals.

Our investigation elucidates an important aspect of cancer cell signaling, by describing the well-orchestrated [CK2—(PML—PHLPP2)—pAKT—FOXO3a] signaling network axis, that cancer thrives on multiple delicate intermolecular conjunctions, which have evolved complexity to sustain oncogenicity, but at the same time could well expose the much coveted 'Achilles' heel' of cancer.

To prepare next-generation negotiators for these multifaceted challenges, negotiation instructors must keep pace with the rapidly evolving complexity of today's world.

The ever evolving complexity of real-world problems had become an impetus for the development of many new and efficient optimization algorithms.

With evolving complexity in experimental approaches and designs, and correspondingly increasing demand on sensitivity, specificity and accuracy matching advancements in sophistication in analytical methods have been made.

Search engine optimization (SEO) has been around for as long as search engines have been popular, but the constantly evolving complexity of search algorithms have digital marketers wondering what's next for their ranking strategies and if they'll even be relevant in the next decade.

survival and the best route to evolving complexity, she will simultaneously.

From an evolutionary perspective such components can be informative for study, as one possible route to evolving complexity in patterning is increasing the fidelity of gradient sensing, and hence the complexity of concentration-dependent transcriptional responses.

Such exceptionally customizable and reconfigurable tools are well matched to the rapidly evolving complexity of scientific data [ 31].

Differences in methodology and the ever evolving complexity of the bioinformatics programs used to interrogate the enormous databases obtained from analysis of specimens, whether fecal or mucosally-associated microbial communities, may be one of many reasons.