Issue No.03 - March (2012 vol.45)
T.M. Murali , Virginia Tech
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2012.93
The complexity, diversity, and richness of experimental data on cellular systems are inspiring the development of computational analysis techniques that can directly prioritize and suggest new experiments.
T.M. Murali, "Guest Editor's Introduction: Computationally Driven Experimental Biology", Computer, vol.45, no. 3, pp. 22-23, March 2012, doi:10.1109/MC.2012.93