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Computational Biology and Bioinformatics

The focus in the computational biology and bioinformatics group is to develop computational strategies to store, analyse and model a variety of biological data (from protein measurements to insect behavioural data). Most of our computational tools are based on machine learning, with neuroscience being a major domain of application.

Faculty

 
  • Guido Sanguinetti: probabilistic modeling of biological systems, dynamics of regulatory networks, computational epigenetics, spatiotemporal systems
  • Douglas Armstrong: molecular neuroinformatics, network models, behavioural models.

Events

 
We have a very informal reading group and publications monitoring system. We meet every two-three weeks in the coffee area on level 1 at 10am, discuss recently published papers over coffee, and then move on to read in more detail one/ two selected papers (we work on a rota informally). You can see a record of our reading group/ publication monitoring here.

Joining the group

 
If you would like to join as a PhD student, please see this information for prospective postgraduates.
 
We also have a large MSc programme in bioinformatics.  For this, you should apply directly to the School for Informations.  Please see this Information about the MSc programme.
 
Occasionally we have openings for postdoctoral researchers. Please contact the individual lecturers directly about this.
 

Classes 

 
As part of our MSc programme, we teach two classes in bioinformatics, namely:
 

Related Research @ Edinburgh

 
Edinburgh has a very active research landscape in computational biology and bioinformatics, both within the School of Informatics and outside. Within Informatics, we have strong links with the Institute for Perception, Action and Behaviour (IPAB) and the Laboratory for the Foundations of Computer Science (LFCS).  We have very strong links with the Centre for Systems Biology at Edinburgh, the School of Biological Sciences, the College of Medicine and Veterinary Medicine (particularly Neuroscience) and  BioSS (bioinformatics, statistics).

Funding

 
We receive funding for our research from many sources, including: