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.
- Guido Sanguinetti:
probabilistic modeling of biological systems, dynamics of regulatory
networks, computational epigenetics, spatiotemporal systems
- Douglas Armstrong:
molecular neuroinformatics, network models, behavioural models.
- Ian Simpson: Computational Biology, Statistics and Machine-learning. Molecular control of neural development and function especially in cortical structures and in relation to cognition, learning and memory. Evolution and conservation of molecular regulatory processes. Analysis of high-throughput data-sets (genomic, meta-genomic, transcriptomic and proteomic).
- Tom Thorne: systems biology, graphical models of gene regulatory networks, Bayesian statistics, Bayesian nonparametrics
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
Occasionally we have openings for postdoctoral researchers. Please contact the individual lecturers directly about this.
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).
We receive funding for our research from many sources, including: