Our group is conducting research to uncover fundamental principles of biological computation: what biological systems compute, and how this computation is performed. We are also developing methods for programming computation in biological systems. Our research currently focuses on fundamentals of Biological Computation, with applications in Immunology and Development, together with principles of Programming Life, with applications in DNA Computing and Synthetic Biology.
Current projects include designing molecular circuits made of DNA, and programming synthetic biological devices to perform complex functions over time and space. We also aim to understand the computation performed by cells during organ development, and how the adaptive immune system detects viruses and cancers, focusing on mechanism and function. We are tackling these questions through the development of computational models and domain-specific computational tools, in close collaboration with leading scientific research groups. The tools we develop are being integrated into a common software environment, which supports simulation and analysis across multiple scales and domains. This environment will serve as the foundation for a common language runtime for biological computation.
- DNA computing: Molecules reach consensus. Nature Nanotechnology, 4 October 2013.
- Computing with soup. The Economist, 3 March 2012.
- Computer-assisted genetic engineering. Technology Review, 3 August 2011.
- Coming Soon to a Lab Near You: Drag-and-Drop Virtual Worlds. Science, 11 February 2011.
- Tech Meets Bio. Nature Medicine, 26 August 2010.
- Luca Cardelli, Attila Csikasz-Nagy, Neil Dalchau, Mirco Tribastone, and Max Tschaikowski, Noise Reduction in Complex Biological Switches, in Scientific Reports, in press, vol. 6, pp. 20214, Nature Publishing Group, 31 January 2016.
- Paul K Grant, Neil Dalchau, James R Brown, Fernan Federici, Timothy J Rudge, Boyan Yordanov, Om Patange, Andrew Phillips, and Jim Haseloff, Orthogonal intercellular signaling for programmed spatial behavior, in Molecular Systems Biology, vol. 12, no. 849, 26 January 2016.
- Alistair Bailey, Neil Dalchau, Rachel Carter, Stephen Emmott, Andrew Phillips, Jörn M. Werner, and Tim Elliott, Selector function of MHC I molecules is determined by protein plasticity, in Scientific Reports, pp. 14928, Nature Publishing Group, 20 October 2015.
- Timothy J. Rudge, James R. Brown, Fernan Federici, Neil Dalchau, Andrew Phillips, James W Ajioka, and Jim Haseloff, Characterization of intrinsic properties of promoters, in ACS Synthetic Biology, 5 October 2015.
- Neil Dalchau, Niall Murphy, Rasmus Petersen, and Boyan Yordanov, Synthesizing and tuning chemical reaction networks with specified behaviours, in International Conference on DNA Computing and Molecular Programming, Springer, August 2015.
- Rasmus Petersen, Matthew R. Lakin, and Andrew Phillips, A strand graph semantics for DNA-based computation, in Theoretical Computer Science, In press, July 2015.
- Matthew R. Lakin, Darko Stefanovic, and Andrew Phillips, Modular verification of chemical reaction network encodings via serializability analysis, in Theoretical Computer Science, In press, June 2015.
- Michael Pedersen, Andrew Phillips, and Gordon D. Plotkin, A High-Level Language for Rule-Based Modelling, in PLoS ONE, In press, June 2015.
- Neil Dalchau, Harish Chandran, Nikhil Gopalkrishnan, Andrew Phillips, and John Reif, Probabilistic analysis of localized DNA hybridization circuits, in ACS Synthetic Biology, American Chemical Society, June 2015.
- Camille Guilbaud, Neil Dalchau, Drew Purves, and Lindsay Turnbull, Is 'peak N' key to understanding the timing of flowering in annual plants?, in New Phytologist, vol. 205, no. 2, pp. 918-927, New Phytologist Trust, January 2015.
- Attila Csikász-Nagy and Neil Dalchau, What makes a biological clock efficient?, no. MSR-TR-2014-134, 8 September 2014.
- Neil Dalchau, Georg Seelig, and Andrew Phillips, Computational design of reaction-diffusion patterns using DNA-based chemical reaction networks, in International Conference on DNA Computing and Molecular Programming, vol. 8727, pp. 84-99, Springer, September 2014.
- Matthew R. Lakin, Rasmus Petersen, Kathryn E. Gray, and Andrew Phillips, Abstract modelling of tethered DNA circuits, in International Conference on DNA Computing and Molecular Programming, vol. 8727, pp. 132-147, Springer, September 2014.
- Boyan Yordanov, Jongmin Kim, Rasmus L. Petersen, Angelina Shudy, Vishwesh V. Kulkarni, and Andrew Phillips, Computational design of nucleic acid feedback control circuits, in ACS Synthetic Biology, vol. 3, no. 8, pp. 600-616, American Chemical Society, July 2014.
- Nicola Paoletti, Boyan Yordanov, Youssef Hamadi, Christoph M. Wintersteiger, and Hillel Kugler, Analyzing and Synthesizing Genomic Logic Functions, in CAV'14, Springer, July 2014.
- Sara-Jane Dunn, Graziano Martello, Boyan Yordanov, Stephen Emmott, and Austin Smith, Defining an essential transcriptional factor program for naïve pluripotency, in Science, vol. 344, no. 6188, pp. 1156 - 1160, 6 June 2014.
- Maria Bruna, Jonathan Chapman, and Matthew J Smith, Model reduction for slow-fast stochastic systems with metastable behaviour, in Journal of Chemical Physics, American Institute of Physics, April 2014.
- James Osborne, Miguel Bernabeu, Maria Bruna, Ben Calderhead, Jonathan Cooper, Neil Dalchau, Sara-Jane Dunn, Alexander Fletcher, Robin Freeman, Derek Groen, Bernhard Knapp, Greg McInerny, Gary Mirams, Joe Pitt-Francis, Biswa Sengupta, David Wright, Christian Yates, David Gavaghan, Stephen Emmott, and Charlotte Deane, Ten simple rules for effective computational research, in PLoS Computational Biology, vol. 10, no. 3, pp. e1003506, PLoS Computational Biology (Public Library of Science Computational Biology), , March 2014.
- Boyan Yordanov, Neil Dalchau, Paul Grant, Michael Pedersen, Stephen Emmott, Jim Haseloff, and Andrew Phillips, A Computational Method for Automated Characterization of Genetic Components, in ACS Synthetic Biology, vol. 3, no. 8, pp. 578-588, American Chemical Society, February 2014.
- Matthew R. Lakin and Andrew Phillips, Compiling DNA Strand Displacement Reactions Using a Functional Programming Language, in Practical Aspects of Declarative Languages - 16th International Symposium, Springer, January 2014.
- Alberto Carignano, Ye Yuan, Neil Dalchau, Alex AR Webb, and Jorge M Goncalves, Understanding and predicting biological networks using linear system identification, in A Systems Theoretic Approach to Systems and Synthetic Biology I: Models and System Characterizations, Springer, 1 January 2014.
- Michael Pedersen, Nicolas Oury, Colin Gravill, and Andrew Phillips, Bio Simulators: a web UI for biological simulation., in Bioinformatics, vol. 30, no. 10, pp. 1491-1492, Oxford University Press, January 2014.
- Yuan-Jyue Chen, Neil Dalchau, Niranjan Srnivas, Andrew Phillips, Luca Cardelli, David Soloveichik, and Georg Seelig, Programmable chemical controllers made from DNA, in Nature Nanotechnology, vol. 8, no. 10, pp. 755-762, Nature Publishing Group, 29 September 2013.
- Antony N Dodd, Neil Dalchau, Michael J Gardner, Seong Jin Baek, and Alex AR Webb, The circadian clock has transient plasticity of period and is required for timing of nocturnal processes in Arabidopsis, in New Phytologist, vol. 201, no. 1, pp. 168-179, 24 September 2013.
- Boyan Yordanov, Christoph Wintersteiger, Youssef Hamadi, Andrew Phillips, and Hillel Kugler, Functional Analysis of Large-scale DNA Strand Displacement Circuits, in International Conference on DNA Computing and Molecular Programming, vol. 8141, pp. 189-203, Springer, September 2013.
- Biological Computation Home
- Kathryn Atwell, University of Oxford
- Mattia Cinelli, University College London
- Frits Dannenberg, University of Oxford
- Anton Kan, University of Cambridge
- Om Patange, University of Cambridge
- Laura Parshotam, University College London
Former PhD scholars
Alistair Bailey, University of Southampton
Wei Pan, Imperial College London
Tim Rudge, University of Cambridge