The study of multiple molecular layers in tandem, also known as “multi-omics” has been subject to a lot of recent attention due to its ability to provide deep insights into molecular changes in a complex system.
While multi-omics studies are increasingly popular, the uptake is hampered by obstacles including data availability, data integration complexities and a lack of analysis best practices. With applications in drug discovery and the ability to understand the molecular drivers for various diseases, it has never been more important to solve these challenges.
Our report ‘Multi-omics: An integrative approach to biomedical research’ covers the motivations behind embarking on such studies, highlights some of the recent success stories, and discusses methods of approaching analysis. You can download the report for free here.
This report will provide you with:
- First-hand experiences of embarking on multi-omics analyses
- Exclusive interviews with researchers’ helpful tips
- Case studies about how multi-omics analysis has been used
- Insights into what the future might hold for multi-omics analysis
- Chapter 1: The introduction of spatial context
- Chapter 2: Applications and approaches
- Chapter 3: Data integration
- Chapter 4: Spotlight on single-cell multi-omics
- Chapter 5: Tools and methodologies
Report contributors include:
- Omer Bayraktar, Appointed Cellular Genetics Group Leader, Wellcome Sanger Institute
- Tamas Korcsmaros, Group Leader, Earlham Institute
- Rob Ewing, Professor, University of Southampton
- Esperanza Anguiano, Scientific Associate Director, Clinical Genetics and Genomics, Bristol-Myers Squibb
- Bin Chen, Assistant Professor, Michigan State University College of Human Medicine
- Evan Newell, Associate Professor, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center
- Peter Sorger, Otto Krayer Professor of Systems Biology, Harvard Medical School