M. Lagator, A. Morgan, P. Neve, and N. Colegrave, “Role of sex and migration in adaptation to sink environments,” Evolution, vol. 68, no. 8. Wiley, pp. 2296–2305, 2014.

M. Lagator, A. Morgan, P. Neve, and N. Colegrave, “Data from: Role of sex and migration in adaptation to sink environments.” Dryad, 2014.

M. Lagator, N. Colegrave, and P. Neve, “Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses,” Proceedings of the Royal Society of London Series B Biological Sciences, vol. 281, no. 1794. Royal Society, The, 2014.

M. Lagator, N. Colegrave, and P. Neve, “Data from: Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses.” Dryad, 2014.

R. Dhar, T. Bergmiller, and A. Wagner, “Increased gene dosage plays a predominant role in the initial stages of evolution of duplicate TEM-1 beta lactamase genes,” Evolution, vol. 68, no. 6. Wiley, pp. 1775–1791, 2014.

R. Dhar, T. Bergmiller, and A. Wagner, “Data from: Increased gene dosage plays a predominant role in the initial stages of evolution of duplicate TEM-1 beta lactamase genes.” Dryad, 2014.

I. Milenkovi, T. Petrov, and G. Kovács, “Patterns of hippocampal tau pathology differentiate neurodegenerative dementias,” Dementia and Geriatric Cognitive Disorders, vol. 38, no. 5–6. Karger Publishers, pp. 375–388, 2014.

N. H. Barton and T. Paixao, “Can quantitative and population genetics help us understand evolutionary computation?,” in Proceedings of the 15th annual conference on Genetic and evolutionary computation, Amsterdam, Netherlands, 2013, pp. 1573–1580.

H. Long, T. Paixao, R. Azevedo, and R. Zufall, “Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila,” Genetics, vol. 195, no. 2. Genetics Society of America, pp. 527–540, 2013.

T. Paixao and N. H. Barton, “A variance decomposition approach to the analysis of genetic algorithms,” in Proceedings of the 15th annual conference on Genetic and evolutionary computation, Amsterdam, Netherlands, 2013, pp. 845–852.

Y. Wakamoto et al., “Dynamic persistence of antibiotic-stressed mycobacteria,” Science, vol. 339, no. 6115. American Association for the Advancement of Science, pp. 91–95, 2013.

D. Refardt, T. Bergmiller, and R. Kümmerli, “Altruism can evolve when relatedness is low: Evidence from bacteria committing suicide upon phage infection,” Proceedings of the Royal Society of London Series B Biological Sciences, vol. 280, no. 1759. The Royal Society, 2013.

D. Refardt, T. Bergmiller, and R. Kümmerli, “Data from: Altruism can evolve when relatedness is low: evidence from bacteria committing suicide upon phage infection.” Dryad, 2013.

T. A. Henzinger and M. Mateescu, “The propagation approach for computing biochemical reaction networks,” IEEE ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 2. IEEE, pp. 310–322, 2012.

N. Hadizadeh Yazdi, C. C. Guet, R. Johnson, and J. Marko, “Variation of the folding and dynamics of the Escherichia coli chromosome with growth conditions,” Molecular Microbiology, vol. 86, no. 6. Wiley-Blackwell, pp. 1318–1333, 2012.

T. Bergmiller, M. Ackermann, and O. Silander, “Patterns of evolutionary conservation of essential genes correlate with their compensability,” PLoS Genetics, vol. 8, no. 6. Public Library of Science, 2012.

C. C. Guet, A. Gupta, T. A. Henzinger, M. Mateescu, and A. Sezgin, “Delayed continuous time Markov chains for genetic regulatory circuits,” presented at the CAV: Computer Aided Verification, Berkeley, CA, USA, 2012, vol. 7358, pp. 294–309.

H. Park, P. Oikonomou, C. C. Guet, and P. Cluzel, “Noise underlies switching behavior of the bacterial flagellum,” Biophysical Journal, vol. 101, no. 10. Elsevier, pp. 2336–2340, 2011.

J. Feret, T. A. Henzinger, H. Koeppl, and T. Petrov, “Lumpability abstractions of rule-based systems,” presented at the MECBIC: Membrane Computing and Biologically Inspired Process Calculi, Jena, Germany, 2010, vol. 40, pp. 142–161.

F. Didier, T. A. Henzinger, M. Mateescu, and V. Wolf, “SABRE: A tool for the stochastic analysis of biochemical reaction networks,” presented at the QEST: Quantitative Evaluation of Systems, Williamsburg, USA, 2010, pp. 193–194.

F. Didier, T. A. Henzinger, M. Mateescu, and V. Wolf, “Fast adaptive uniformization of the chemical master equation,” presented at the HIBI: High-Performance Computational Systems Biology, Trento, Italy, 2009, vol. 4, no. 6, pp. 118–127.