"computational discovery" is a correct and usable part of a sentence in written English.
You can use this phrase in various context. For example, you could say, "Recent advances in computational discovery have enabled us to better understand complex scientific phenomena."
The primary appeal of this approach is its relatively low cost, made possible because the clusters are made up of commodity hardware and software readily available computing components—says Joseph Hellerstein, manager of computational discovery for science at Google.
Joseph Hellerstein, manager of computational discovery for science at Google, says that the relationship between computation and domain science began to change with the human genome project.
Computational discovery is playing an ever-greater role in supporting the processes of knowledge synthesis.
However, these techniques still generate many false positives which lead to expensive efforts to try to validate the computational discovery in the wet lab.
Although very popular, the computational discovery of novel miRNA genes is usually limited to the identification of miRNA precursor sequences [21], [36] leaving the functional part, namely the mature miRNA, unknown.
Uncovering such anomalies can be a potent catalyst to translational research and recently computational discovery has shown promise in supporting these processes of knowledge synthesis and anomaly detection [3].
These experimental and computational discoveries should accelerate the development of robust algorithms for designing aggregation-resistant antibodies.
Computational discoveries of the hidden subtypes for a complex disease have to be verified by some means, e.g., a functional assay using bioinformatics approaches or a clinical validation using epidemiological approaches such as survival analysis.
We should emphasize that all the computational discoveries reported here use standard sequence/structure analysis techniques laid out in the Material and Methods, as is typical of a paper in this field.
Given the swell in the data, and the high significance of some of these computational discoveries, we believe that the research community would benefit both from an additional forum for such publications, as well as a modified system of peer-review that would allow greater speed and openness.
An important problem in computational scientific discovery is to identify, among the diversity of discovery programs written in various sciences, a commonality that will take a next step beyond the acknowledged general but weak framework of heuristic search.
