Computational biology involves applying computational science, mathematical models, machine learning, and many other techniques, to biological data. It’s a huge area, and can involve many different specialties.
In our group, we have people studying how to predict what antibiotic-resistance proteins look like, using computer modelling.
The main focus of our group is using these techniques to study the DNA of bacteria and viruses. We use many of the similar techniques that others use to study human DNA. There are hundreds of different names for all the specialties that do this, many of which overlap, and it can get massively confusing. To be honest, a lot of our scientists would probably struggle to say which area they are in, as they focus on interesting questions, and then try and answer these questions using any number of techniques.
You can choose from: Evolutionary genomics. Population Genetics, Statistical Genetics, Bioinformatics, and more… We have people doing computational genomics who did undergraduate degrees in biology, computer science, medicine, mathematics, engineering and more…
As DNA sequencing technologies improve, there is going to be more and more demand for people who have the skills to analyse the incredibly complex information.
Some information about computational biology as a career can be found here:
You can read more about some of our work involving genomics here:
Hear from Dr Zam Iqbal, Compuational Biologist and Bioinformatician at the University of Oxford, about what his work involves