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Computational and Evolutionary Biology

Welcome to CEB's webpages

We are a department-sized grouping of researchers in Life Sciences who use a wide range of techniques from computational to whole organism experimental approaches in our pursuit of understanding biological systems. A main theme of our research is the use of an evolutionary perspective to inform and predict the behaviour of biological systems. As such, the study of evolutionary signals and processes is central to our work. We also have extensive experience in Bioinformatics, which ranges from software and database development to the analysis of biological data sets.

Click ‘+ / - More information’ below to find out more about the research themes underway in CEB and follow the links there to find out about PI research interests and projects. If you have any questions about the research we do, are interested in scientific collaborations or education/training opportunities in Manchester please contact us.

Research group leader: Prof David Robertson

Molecular and Genome Evolution

Organisms adapt to their environment by selecting for genomic traits within their population that offer a competitive advantage. In our grouping we study genomic evolution and its consequences at different levels of generality and over varying time-scales, often bringing together computational and experimental approaches.

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Comparative and Organismal Biology

The underlying focus of this CEB research theme is understanding how structure and function relate through evolutionary processes. Our research interests cross over between field and laboratory-based studies and are focused on understanding how organisms work and interact with their environment.

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Computational Biology

In our research we apply computer-based, mathematical and statistical approaches to the study of biological molecules and systems. This use of computers in biology has never been so important and, alongside continuing data acquisition and analysis, a major goal of computational biology is the in silico representation of dynamic biological systems.

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Rock ptarmigan in Svalbard.

Rock ptarmigan in Svalbard (Jonathan Codd).

Fluorescence-tagged yeast competing to producing a colony

Fluorescence-tagged yeast competing to producing a colony (Dan Smith).

Phylogenetic tree inferred form 454 sequence data.

Phylogenetic tree inferred form 454 sequence data (John Archer).

Yeast biology word cloud

Cheers to yeast biology research! (Jonathan Dickerson)

Screenshot from Utopia Documents software.

Screenshot from Utopia Documents software (Terri Attwood).

Visualisation of phylogenetic workflow usage.

Visualisation of phylogenetic workflow usage (Jamie Eales).

HIV-1 V3 loops.

HIV-1 V3 loops (Simon Lovell).

Yeast protein interaction network.

Yeast protein interaction network.

An emerging compound leaf primordium of Schefflera actinophylla.

An emerging compound leaf primordium of Schefflera actinophylla (Minsung Kim).

Frog, Agalychnis moreletii.

Frog, Agalychnis moreletii, snapped on undergraduate field course to Belize (Richard Preziosi).

HIV-host protein interaction network.

HIV-host protein interaction network (Jonathan Dickerson).

 

World leading minds required

We are recruiting Professors and Lecturers. See:

Recruitment

PhD, postdoc and fellowships

We welcome applications for PhD and post-doctoral positions at any time. Advertised positions can be found on our PhD projects and the Faculty's Jobs page. We are also pleased to consider requests to host independent research fellowships (junior or senior), and we can offer advice and guidance in support of your application. Fellows routinely become permanent members of staff.

For enquiries, contact david.robertson@
manchester.ac.uk or the principal investigator closest to your research area.