Toward a New Model of the Cell

Everything You Always Wanted to Know About Genes

Turning vast amounts of genomic data into meaningful information about the cell is the great challenge of bioinformatics, with major implications for human biology and medicine. Researchers at the University of California, San Diego School of Medicine and colleagues have proposed a new method that creates a computational model of the cell from large networks of gene and protein interactions, discovering how genes and proteins connect to form higher-level cellular machinery. …Read the full story from the UCSD Newsroom


Trey Ideker, PhDThe new approach comes from the medical genetics laboratory of Trey Ideker, PhD, in the departments of bioengineering and medicine. Postdoctoral fellow Janusz Dutkowski, PhD, is lead author and Michael Kramer, PhD, a coauthor of the study report in Nature Biotechnology.

Ideker, senior author, is professor of bioengineering and medicine and chief of the Division of Medical Genetics in the Department of Medicine.

Citation for the report:  Dutkowski J, Kramer M, Surma MA, Balakrishnan R, Cherry JM, Krogan NJ, Ideker T. A gene ontology inferred from molecular networks. Nature Biotechnology (2012) doi:10.1038/nbt.2463. Published online 16 December 2012  Read the abstract