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WEBINAR ON DEMAND

  • DURATION32 min

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

Omics data are an important resource for biopharmaceutical companies. By providing a comprehensive view of the molecular and cellular processes underlying diseases, multi-omics efforts can aid the development of safer and more effective drugs. 

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.

Register to watch the webinar

In the webinar, you can expect to learn:

  • The potential of multi-omics data
  • Omics challenges in today’s biopharmaceutical research 
  • How life sciences companies around the world overcome these challenges
  • Which tools do they use to plough through vast amounts of omics data 
ONTOFORCE’s OMICS WEBINAR ZS & DISQOVER 1

Speakers

Rasmus Borup Hansen Director of Scientific Software Development
ZS Associates
Driving true multi-omics where analysing different data types together can lead to new insights and discoveries
Rasmus Borup Hansen ZS ONTOFORCE OMICS WEBINAR
Bérénice Wulbrecht Vice president SOLUTIONS DELIVERY
ONTOFORCE
I will share how knowledge graphs leverage omics and research data 
VP Solution Delivery BÉRÉNICE WULBRECHT
Mark Østerlund Lead Scientific Software Development
ZS Associates
Is this unexpected result a bug or a biological truth?
Mark Osterlund ZS ONTOFORCE OMICS WEBINAR

Who should join

  • VP and Head of Data Science
  • VP/Director of Biology
  • VP/Director of Research
  • Scientists
  • Biologists
  • Medicinal Chemists
  • Pharmacologists
  • Data Scientists
  • Drug Discovery Professionals
  • Research & Development Professionals
  • Machine Learning Professionals
  • Artificial Intelligence Professionals
  • CIO
  • CTO
  • Bioinformaticians