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For several years now, accumulation of genetic information has accelerated at a pace that exceeds the acceleration of computer capacity (Moore's law) and there is no discernible limit to prospects of further growth. As the cost per unit of obtained genetic information is plummeting (Niedringhaus et al., 2011), genetics has become a frontrunner and a catalyst of the informatics revolution that is affecting very diverse biomedical scientific fields. In non-biomedical science, somewhat equivalent roles to genetics have been assumed by other disciplines that are also driven by big data, e.g., observational astrophysics and high-energy and particle physics. This evolving big data paradigm offers the opportunity to re-think about priorities surrounding different steps in the scientific process.

This I believe in genetics: discovery can be a nuisance, replication is science, implementation matters