Achievement

After over a decade of efforts toward reverse engineering biological networks from high-throughput omic data, gene networks of most organisms remain sketchy. This problem motivated an interdisciplinary group led by M Song (CMB IGERT PI, New Mexico State University) to develop comparative modeling to highlight conserved and differential gene interactions across experimental conditions, without reconstructing complete gene networks first. The group established a comparative dynamical system modeling approach to identify conserved and differential interactions across molecular contexts. Recently published in Bioinformatics (2012), this research has been featured on Global Medical Discovery, where it was judged to be “of key importance in science and medicine.”