How to manage biological data and use computational methods to power life science research

Start date:

28 September 2021

End date:

30 September 2021

Venue:

Online (via Zoom)

Organiser:

Professor Neil Hall

Enquiries:

training@earlham.ac.uk

Registration deadline:

26 September 2021

Cost:

£15.00

Sessions:

  • 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

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