Statistical Computing and Mathematical Modeling
Progress in biology is driven by technology. High throughput sequencing and microscopy require sophisticated statistical and computational operations in order to exploit their potential. To understand (and, eventually, manipulate) biological systems, all available data about them needs to be integrated into computable maps and mathematical models. Ideas and techniques from physics, mathematics, statistics, computer science and engineering are the crucial drivers for our research.
Thomas Horn, Thomas Sandmann, Bernd Fischer, Elin Axelsson, Wolfgang Huber, and Michael Boutros. Mapping of signalling networks through synthetic genetic interaction analysis by RNAi. Nature Methods, 8(4), 2011. pdf, url.
Eugenio Mancera, Richard Bourgon, Alessandro Brozzi, Wolfgang Huber, and Lars M. Steinmetz. High-resolution mapping of meiotic crossovers and non-crossovers in yeast. Nature, 454(7203):479-485, 2008. pdf (76 citations).