In the past few years, new, larger scale experiments have made it possible to construct statistical mechanics models of biological systems directly from real data.
Recent small- and large-scale experiments have shown that introducing the recirculated flue gases with the fuel results in a much greater reduction in NOx, per unit mass of gas recirculated, compared to introducing the flue gases with the combustion air.
In recent years, small- and large-scale experiments have produced a considerable wealth of information about the physical interactions of thousands of molecules.
Recent increases in the amount of data from large-scale experiments have complicated curation efforts as well, often requiring computer skills beyond those of many bench researchers in order to upload the data properly.
Finding peptides for all protein-coding genes is the holy grail of proteomics, and a number of recent large-scale experiments have detected protein expression for ∼50% of the human genome (18– 24).
A version of these models in combination with a large-scale experiment has also been used to understand the role of ecological context on the dynamics of the Lyme Disease pathogen (Tsao et al. 2004).
Investigators across all areas of biology have designed large scale experiments to capture a broader systems-based understanding of gene or protein expression changes that accompany their process of interest.
Large scale profiling experiments have indicated that most miRNA SNPs occur outside of the pre-miRNA region.
Large scale sequencing experiments have revealed some genic endo-siRNAs and also a specific gene, Slc34a1 (encoding a sodium/phosphate transport system), has been shown to produce them in selected tissues [ 9].
Associations that where obtained from large scale experiments were removed.
Bakshy et al. [22] have reported a large scale experiment performed on the Facebook social network by randomizing the exposition of users to the items published by their friends, in order to expose the role of the social links in the propagation of an information, and to show the existence of a genuine influence phenomenon between Facebook friends.
