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The Zeeman Institute

Biological Understanding

Fundamental to our work is to develop novel understanding of biological phenomona, from the within cellular processes and genomics, through the interaction between cells, to the organ or whole organism. The heart of this Systems Biology approach is to bring powerful statistical and mathematical tools together with cutting edge experimental work to understand the rich and complex dynamics that occur within a body.

The Zeeman Institute has particular strengths in bioinformatics, cell signalling, cellular mechanisms, genomics, image processing and neuroscience.

Data Generation

Clinical and laboratory work is key for underpinning much of the work in the Zeeman Insitutute. Our close relationship with cutting-edge experimentalists is a vital two-way process, allowing the maximum information to be extracted from experiments and data.

Data Analysis

Much of our work focuses on the analysis of complex high-dimensional data or noisy sparse data; our aim is to quantify underlying mechanisms from from such information to improve biological understanding.

Prediction

In many contexts the ulitimate goal is forward prediction: taking what we understand of the system and extrapolating to new regimes. Often, the ability to predict is taken as a validation of the modelling approach.

Mechanics of cells and tissues
  1. Cell division (Nigel Burroughs)
  2. Membrane dynamics (Till Bretschneider)
  3. Cell migration (Louise Dyson)
Genetics
  1. Bacterial evolution (Xavier Didelot)
  2. Transcriptomics (Sascha Ott)
Cellular_Signalling
  1. Neuroscience (Yulia Timofeeva, Magnus Richardson)
  2. Circadian rhythms (David Rand)
  3. Cellular decision making (David Rand)
NF-KappaB signalling

A mammalian cell signalling systems that displays dynamic behaviour.

Development

Understanding the development of structures in early life

Circadian Clocks

Circadian clocks adapt organisms to the day-night cycle.

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