High-speed computers have now enabled complex aerospace engineering problems to be analyzed rapidly.
In this configuration, deposited samples can be analyzed rapidly without rigorous optimization of spray distances or angles and without the preparation time associated with solvent evaporation.
The developed technique allows for photopolymerization kinetics to be analyzed rapidly over a large range of compositions, giving a unique insight into the role composition contributes to polymerization kinetics and ultimate conversion within complex formulations.
This is then analogous to specific histological staining of a particular species, with the substantial advantages that images can be acquired and analyzed rapidly and non-destructively, and can be visualized in multiple planes to appreciate structures spanning 200 400 microns in depth.
However, the number of samples analyzed rapidly becomes a limiting factor, in terms of both time and cost considerations.
Therefore, short analysis time and simple treatment process contributed to high through-put of current methods, especially when multiple clinical samples were required to be analyzed rapidly.
In this vein, Bayesian techniques might be better able than alternative statistics to cope with analyzing rapidly changing technologies and providing meaningful data (Lilford et al. 2000).
The ability to efficiently engineer genomes will only enhance the utility of model organisms where gene variants can now be generated and analyzed rapidly and cost effectively, facilitating the production of new animals models for human disease-associated alleles.
Although currently only a single gene is screened, there is clearly scope for the creation of multi-gene capture arrays, allowing large numbers of loci to be analyzed rapidly and cost-effectively with low DNA input requirements.
Summary: The current fast growth of genome-wide association studies (GWAS) combined with now common computationally expensive imputation requires the online access of large user groups to high-performance computing resources capable of analyzing rapidly and efficiently millions of genetic markers for ten thousands of individuals.
