Modern life science research is increasingly reliant on data science, and a failure to keep pace with computational methods will leave UK life science research treading water.
The UK-CBCB conference will cover the breadth of biological data management, analysis and sharing.
Bringing together biologists, bioinformaticians, computer scientists, software engineers and data scientists across the life sciences, to share innovations, applications and best practices in their fields. Talks will cover data standards, algorithm and tool development, and data curation.
The three-day conference will be applicable to bioinformatics researchers working on core services or in research teams as well as computer scientists or bioinformaticians developing tools or maintaining data resources.
- Structural Bioinformatics – analysis and prediction of three-dimensional molecular structures
- Metagenomics and Microbial Bioinformatics – the diversity and complexity of microbial genomes and identification in environmental samples
- Research Data Management – approaches for validation, storage and protection of data under the FAIR principles
- Bridging Genotype to Phenotype – computational approaches to deciphering the complex interactions between genotype and environment and how these affect phenotype
- Computational Proteomics and Metabolomics – harnessing large-scale studies to determine protein and metabolite function for the discovery of biomarkers
- Artificial Intelligence – exploring innovative applications of artificial intelligence for the exploration of complex biological data
There will also be a workshop session: UKRI Innovation Scholars – Data Science Training in Health and Bioscience.