Nevertheless, our analysis provides the first large-scale insights into the transcriptional circuitry of miRNA genes in monocytic differentiation.
Clarification of some questions on bacteria phylogeny and future genomic analysis of Burkholderiales species will provide deeper large-scale insights into the evolution of virulence mechanisms.
Metagenomic approaches allowed the first large-scale insights into the function of complex microbial communities and are increasingly recognized as a baseline for understanding the ecology and evolution of microbial ecosystems as genetic and metabolic networks.
Furthermore, logic models can be used to understand drug's mode of action, and in particular provide large-scale insights accross many different pathways, which cannot be modelled with biochemical models.
In the past decade, DNA microarray analysis has proved to be a powerful and cost-efficient means of assaying differential gene expression on a large scale and has provided insight into the mechanisms that regulate processes such as growth, pathogenicity, and antifungal susceptibility (Black and Hare 2000; Garaizar et al. 2006; Kadosh and Johnson 2005; Saville et al. 2005).
Previously, large scale studies provided valuable new insights into aging mechanisms in multiple species, tissues and genotypes [ 10, 12, 45- 52].
"To move from insight to large scale action, it is clear that no one actor can work on this alone; the public, private sector and civil society all need to mobilize in order to capture the opportunity of the new circular plastics economy".
Overall, our study presents a new method to predict potential decreases of resilience in complex large scale watershed systems where mechanistic insight is insufficient to build reliable basin-scale hydrological, climate, ecosystem integrated models.
Furthermore, the mitochondrial system is still being investigated for novel insights into disease mechanics, where a large scale expression analysis (as presented here) provide useful insights.
The new algorithm is illustrated on synthetic data, where results can be judged carefully, and also on a real, large scale Twitter activity data, where new insights can be gained.
One interesting additional feature of these systems is that physical barriers microns in dimension can be added to restrict movement of ligands, for example to impede large scale receptor clustering and thereby gain insights into its role in cell function.
