Modelling
An abundance of data and unprecedented computational power are allowing sophisticated biological models to be devised and tested. This series of articles examines how the coupling of genetics with disciplines such as engineering, statistics, physics and computational biology has enriched our understanding in areas that range from developmental patterning to genetic association analyses.
2009
December 2009 Volume 10 No 12
Synthetic biology: understanding biological design from synthetic circuits
Shankar Mukherji & Alexander van Oudenaarden
doi:10.1038/nrg2697
October 2009 Volume 10 No 10
Bayesian statistical methods for genetic association studies
Matthew Stephens & David J. Balding
doi:10.1038/nrg2615
September 2009 Volume 10 No 9
Microfluidic devices for measuring gene network dynamics in single cells
Matthew R. Bennett & Jeff Hasty
doi:10.1038/nrg2625
August 2009 Volume 10 No 8
Quantitative approaches in developmental biology
Andrew C. Oates, Nicole Gorfinkiel, Marcos González–Gaitán & Carl–Philipp Heisenberg
doi:10.1038/nrg2548
August 2009 Volume 10 No 8
Evolutionary analysis of the dynamics of viral infectious disease
Oliver G. Pybus & Andrew Rambaut
doi:10.1038/nrg2583
July 2009 Volume 10 No 7
From DNA sequence to transcriptional behaviour: a quantitative approach
Eran Segal & Jonathan Widom
doi:10.1038/nrg2591
June 2009 Volume 10 No 6
Detecting gene–gene interactions that underlie human diseases
Heather J. Cordell
doi:10.1038/nrg2579
February 2009 Volume 10 No 2
Stochastic modelling for quantitative description of heterogeneous biological systems
Darren J. Wilkinson
doi:10.1038/nrg2509
