Consultancy work: use of Monte Carlo and MCMC techniques. Statistical approaches for inference and model selection.
Outreach: enumeration, Counting and Sampling by Monte Carlo.
Z. Burda, A. Krzywicki, O.C. Martin and M. Zagorski, Motifs emerge from function in model gene regulatory networks, PNAS 108 (42) 17263-17268, 2011.
A. Samal, A. Wagner and O.C. Martin Environmental versatility promotes modularity in genome-scale metabolic networks, BMC Systems Biology 5:135 2011.
A. Samal and O.C. Martin Randomizing genome-scale metabolic networks, PLoS One 6(7): e22295 2011.
C. Espinosa-Soto, O.C. Martin and A. Wagner Phenotypic robustness can increase phenotypic variability after nongenetic perturbations in gene regulatory circuits, J. Evol. Bio. 24(6), 1284 2011.
C. Espinosa-Soto, O.C. Martin and A. Wagner Phenotypic plasticity can facilitate adaptive evolution in gene regulatory circuits, BMC Evolutionary Biology 11:5 2011
P. Sulc, A. Wagner and O.C. Martin Quantifying Slow Evolutionary Dynamics in RNA Fitness Landscapes, Journal of Bioinformatics and Computational Biology, Vol. 8, No. 6, 2010.
Z. Burda, A. Krzywicki, O.C. Martin and M. Zagorski, Distribution of essential interactions in model gene regulatory networks under mutation-selection balance, Phys. Rev. E 82, 011908 (2010).
A. Samal, J.F. Mathias Rodrigues, J. Jost, O.C. Martin and A. Wagner Genotype networks in metabolic reaction spaces, BMC Syst. Bio. 4, 30 2010.
I. Junier, O. Martin, F. Kepes Spatial and Topological Organization of DNA Chains Induced by Gene Co-localization, PLoS Comput Biol 6(2): e1000678, 2010.