UC Irvine

The study of circadian rhythms increasingly relies on high throughput circadian omic data. Processing, annotating and analyzing these data require an efficient and powerful bioinformatics software system. To this end, we have implemented such a system. Major components of this system include genome-wide binding sites predictors, statistical and machine learning pipelines, functional enrichment pipelines, visualization tools and a data management server. Using this system, we have produced high impact publications, a circadian web portal (CircadiOmics, http://circadiomics.ics.uci.edu/), and advanced our understanding of the organization of the circadian transcriptome.