Similar bioinformatic approaches were used to identify novel circadian genes from microarray data [10] and using co-expression data and text-mining [11], to find circadian genes disrupted in cancer cell lines [12] and to find health implications of disrupted clock genes [13]. The gene discussed is CLOCK; the disease is cancer.