Information, such as genetic sequences, pervades all biological systems, and an ever growing array of “omics” technologies enables us to capture biological information at unprecedented rates of throughput. Quantitative disciplines like bioinformatics and integrative systems biology are essential components of all studies involving high-throughput data. The Bioinformatics and Integrative Biology group has a dual role:
- it develops and makes available to other groups quantitative methods to analyse high-throughput biological data, with a particular focus on viral-host interaction and viral evolution
- it provides to other in-vitro and in-vivo researchers throughout the Institute advice on scientific computing, bioinformatics methods and the design of complex experiments involving the use of large datasets.
Our scientific priorities are to understand:
- the molecular and system biology of complex viruses
- the systems biology of the host using virus as probes
- the evolution of viruses at molecular and population level
- the population dynamics of viral outbreaks.
Our research has additional impact arising from:
- the development of new analysis methods and techniques, and potentially new high-throughput assays and techniques
- the possibility of revisiting with modern methods and combining together a large number of historical datasets, in order to extract from them new biological information.
- the group operates a high-performance computer cluster featuring about 500 CPU cores and 0.5 PB of disk storage
- the group designs and makes available several pipelines for the analysis of high-throughput data specialised to the study of viral-host systems.