The current push for personalized disease treatment is encouraging bioinformatics to seamlessly integrate data acquired from multiple levels of investigation, from molecular scale to organisms and tissues and further to individuals and populations.
In addition to gathering data at multiple levels, multiple levels of questions are addressed: human-scale biology, clinical-scale, and epidemic-scale.
Despite the introduction of novel computational methods, given that they are often based on distinct or incompatible principles, it is difficult or impossible to integrate these methods across the multiple levels of organization and time-scales characteristic of living systems [ 140- 142].
Interviews highlighted the multiple levels of assessment undertaken in successful scale-up efforts including the assessment of community receptivity, political support, economic viability, and technical feasibility, whereas studies in the empirical literature mentioned assessment in general terms or of only a single type (eg, community needs assessment).
However, cloud providers is most likely prefer providing horizontal scaling with fatty VMs, thus research on combination of scaling actions on multiple levels of resource granularity as our work is really essential.
While our workshops and subsequent implementations were relatively small scale, our multiple levels of assessment allow us to address both the effects of the workshop training on faculty participants and the response of their students to the CREATE strategy.
The analysis is performed with several earthquake records, each scaled to multiple levels of intensity.
A variety of issues are explored which include: energy performance metrics; end-use of different building types; multiple levels of granularity; and urban and rural scales.
Even for the same samples, multiple levels of omics data can be measured in large scale.
This challenge can be addressed by using multi-scale product models comprising multiple levels of detail (LoD).
