Prof Martin Howard
Computational and Systems Biology
Our group mathematically models biological systems at the cellular level, with a focus on understanding fundamental biological mechanisms.
Our approach is to construct simple models that can nevertheless make surprising and counter-intuitive predictions to be tested experimentally. The group's approach is highly interdisciplinary, and relies heavily on techniques from statistical physics as well as on close collaboration with experimental groups both at the John Innes Centre and elsewhere.
An emerging focus within the group is the use of analogue versus digital control in biology. Specific recent topics for research have included digital epigenetic dynamics during vernalization, analogue arithmetic division in starch metabolism, cell size control in fission yeast and low copy number plasmid segregation in bacteria.
ContactTel: 01603 450892
Cause or Consequence? Scientists help to settle an epigenetic debateread more
How Plants Remember Winter, and Other Storiesread more
PLoS Computational Biology 10 p e1004009
Publisher’s version: 10.1371/journal.pcbi.1004009
Physical coupling of activation and derepression activities to maintain an active transcriptional state at FLC.
Proceedings of the National Academy of Sciences of the United States of America 113 p9369-74
Publisher’s version: 10.1073/pnas.1605733113
Proceedings of the National Academy of Sciences of the United States of America 113 p218-23
Publisher’s version: 10.1073/pnas.1518369112
eLife 4 pe07205
Publisher’s version: 10.7554/eLife.07205
Proceedings of the National Academy of Sciences of the United States of America 112 p41464151
Publisher’s version: 10.1073/pnas.1503100112
Frontiers in Plant Science 6 p204
Publisher’s version: 10.3389/fpls.2015.00204
- Scott Berry Postgraduate Student
- Dr Giuseppe Facchetti Postdoctoral Scientist
- Robert Ietswaart Postgraduate Student
Institute of Physics Tom Duke Lecture Prize, 2014
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