Biological Computation

Biological Computation

Our group is developing theory, methods and software for understanding and programming information processing in biological systems. Our research currently focuses on three main areas: Molecular Programming, Synthetic Biology and Stem Cell 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 development, and how the adaptive immune system detects viruses and cancers. 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 biological computation platform.

News

People

Publications

2017

2016

2015

2014

Ten Simple Rules for Effective Computational Research
James Osborne, Miguel Bernabeu, Maria Bruna, Ben Calderhead, Jonathan Cooper, Neil Dalchau, Sara-Jane Dunn, Alexander Fletcher, Derek Groen, Bernhard Knapp, Gary Mirams, Joe Pitt-Francis, Biswa Sengupta, David Wright, Christian Yates, David Gavaghan, Stephen Emmott, Charlotte Deane, PLoS Computational Biology (Public Library of Science Computational Biology),, March 1, 2014, View abstract, Download PDF

2013

2012

2011

2010

2009

2008

2007

2006

2005

2002

Projects

PhD Scholars and Post-Docs

  • PhD Scholars
  • Luca Rosa, University College London
  • Anton Kan, University of Cambridge
  • Om Patange, University of Cambridge

 

  • Former PhD scholars
  • Mattia Cinelli, University College London
  • Kathryn Atwell, University of Oxford
  • Frits Dannenberg, University of Oxford
  • Laura Parshotam, University College London
  • Alistair Bailey, University of Southampton
  • Wei Pan, Imperial College London
  • Tim Rudge, University of Cambridge