We use computational biology – from bioinformatics and mathematical modelling through to data visualisation and artificial intelligence – to understand complex biological systems and treat human disease.
Over the past decade, research labs have increasingly generated large volumes of clinical and biological data. The next challenge is to integrate these huge datasets in an innovative way, to address important questions in biology and clinical medicine.
The MRC WIMM Centre for Computational Biology (CCB) was established to tackle this challenge. Our Centre brings together a range of expertise in computational biology, including bioinformatics, quantitative biology, mathematical modelling, statistical genetics, data visualisation, cell and molecular imaging, artificial intelligence and machine learning. Our computational biology groups collaborate extensively with research labs within and beyond the MRC WIMM, helping to address some of the biggest medical challenges.
We have also developed a comprehensive training programme for wet lab scientists wishing to develop new skills in computational biology. The Oxford Biomedical Data Science Training Programme is unique in the UK, providing a 10 week intensive course that first builds basic data science skills and then supports trainees in the exploration of their own biomedical data. We also offer a range of introductory courses. Our training programmes aims to both support and establish collaborations with wet lab scientists wishing to explore new avenues, and support the transition into computational biology from other fields.
We are located in, and are an integral part of, the MRC WIMM, and our state of the art computer and storage facilities are managed by our own systems administrators.