The explosion of information generated by large-scale functional genomics t
echnologies has resulted in an exponential increase in the number of potent
ial genes and proteins available for pharmaceutical and diagnostic research
development. In order to tap this potential, the primary challenge is to d
evelop a strategy to effectively integrate and extract meaning from the hum
an genomic sequence information that has been generated since the start of
the Human Genome Project. This article deals with the strategies being appl
ied by academics and by the biotechnology sector to sort and triage this in
formation with the ultimate goal of identifying future therapeutic targets
for cancer and other diseases.