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Go Big Data, Go! Big Data Approach to Bioinformatics Profiling Identifies New Mammalian Clock Gene

24 April 2014 by NCCMMS

From Scientific Computing

Over the last few decades researchers have characterized a set of clock genes that drive daily rhythms of physiology and behavior in all types of species, from flies to humans. Over 15 mammalian clock proteins have been identified, but researchers surmise there are more. A team from the Perelman School of Medicine at the University of Pennsylvania wondered if big-data approaches could find them.

To accelerate clock-gene discovery, the investigators, led by John Hogenesch, PhD, professor of Pharmacology and first author Ron Anafi, MD, PhD, an instructor in the department of Medicine, used a computer-assisted approach to identify and rank candidate clock components. This approach found a new core clock gene, which the team named CHRONO. Their findings appear this week in PLOS Biology.

Read more here.

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