ABSTRACT
Once heralded as the holy grail, the capability of obtaining a comprehensive lists of genes, proteins, and metabolites that are different between the disease and normal phenotypes is routine today. And yet, the holy grail of high throughput has not delivered so far. Even though such high-throughput comparisons are relatively easy to perform, understanding the phenomena that determine the measured changes is as challenging as ever, if not more so. There is a large gap between our ability to collect data and our ability to interpret it. This gap is virtually impossible to close through manual means due to the sheer amount of data involved. Hence, computer analysis holds the only hopes in this direction.
