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Recent and rapid technological advances in molecular sciences have dramatically increased the ability to carry out high-throughput studies characterized by big data production. This, in turn, led to the consequent negative effect of highlighting the presence of a gap between data yield and their analysis. Indeed, big data management is becoming an increasingly important aspect of many fields of molecular research including the study of human diseases. Now, the challenge is to identify, withindoi:10.3390/ht7010008 pmid:29498666 pmcid:PMC5876534 fatcat:rpmbxxrnmfbuvpi4cn36mlbe4i