Computational techniques have revolutionised biological research and our ability to capture data has grown exponentially.
By 2025 the majority of stored electronic data will be genomic and the future will belong to those best able to manage, analyse and interpret those data. Surviving as a researcher in this time of change will require effective engagement with the world of computational biology.
Research groups need to know how to gather, manage and analyse data to answer their scientific research questions. They need to ensure that their members are well trained, conversant with the latest techniques and able to make effective use of the wide range of opportunities provided by computational approaches.
We have deep and wide-ranging expertise across the many areas in which biology and computing intersect. We have extensive experience of collaborating effectively with scientific groups of all levels of computational need. We have particular expertise in:
- Bioinformatics, particularly sequence bioinformatics/NGS analyses such as RNA-Seq, ChIP-Seq, variant analysis, phylogenetics, QTL analysis, GWAS
- Data management, from the high level principles and policies through to tools,techniques and data sharing
- Research computing infrastructure – HPC, HTC, Cloud computing, storage
- Machine Learning, Deep Learning and AI approaches in biology
- Image analysis, particularly computational microscopy and phenotyping
We can also provide training and consultancy in all of these areas, and more. Contact us to find out more.