Optimize your multi-omics research: data management challenges and best practices

However, integrating data from multiple omics studies to render it useable for exploration and analysis remains challenging. The data can come from multiple sources, multiple techniques, multiple labs, and multiple organizations. As organizations continue to ramp up their use of multi-omics approaches in research, ensuring efficient operations for managing multi-omics data will be vital.

Join ONTOFORCE, a global provider of data and knowledge platforms for the life sciences industry, and ZS Associates, a management consulting and technology firm focused on transforming global healthcare, as they detail how you can optimize your multi-omics research.