However, as we take greater care in our measurements and apply ever more refined experimental methods, we can reduce the errors and, thereby, gain greater confidence that our measurements approximate ever more closely the true value [7].
More recently, experimental methods have been developed and improved.
Lastly, more advanced experimental methods, such as real-time water/ice visualization and cryogenic microscopy, are needed to validate emerging theories and models.
More accurate experimental methods for knocking down/out genes in Drosophila are necessary to evaluate the essentiality of young genes.
We suggest that this is a promising area for research using some of the more powerful experimental methods now available.
The increase in structural databases allows the satisfactory prediction of structures by theoretical methods, with advantages over more costly experimental methods.
Thus, to fully grasp the richness of the structural dynamics of these proteins and their potential role in biological processes, more sophisticated experimental methods as well as theoretical concepts surmounting the conventional order disorder partitioning are required.
Specifically, it contains 5224 miRNA targets that are validated by one or more solid experimental methods including luciferase reporter assay, western blot, northern blot, and quantitative real-time analysis.
As with modelling, computational methods are increasingly able to step up and provide insight where more expensive experimental methods are unable to, with programs such as SIFT (11), Site Directed Mutator (SDM; 12, 13) and PolyPhen (14) and mutant Cutoff Scanning Matrix (mCSM; 15) being developed in recent years.
Concurrently, available genetic information has increased as a result of more sophisticated experimental methods and centralization of genetic information in public genome databases (such as Ensembl [ 11], NCBI [ 12] and UCSC [ 13]), gene expression databases (such as GEO [ 14]) and human variation databases (such as HapMap [ 15]).
