Multi-Omic Data Utilization
Benefit from nCode’s integration of multi-omic data for a holistic understanding of disease mechanisms. Our approach combines insights from genomics, proteomics, and transcriptomics to develop highly targeted therapies.
Tenets & Benefits
Design research and exploration
- Integrate genomic data to personalize RNA sequence design.
- Analyze proteomic data to predict protein interactions with RNA therapies.
- Utilize transcriptomic data to understand gene expression patterns.
- Develop a comprehensive multi-omic database to inform therapeutic development.
- Implement precision targeting strategies based on multi-omic insights.
Benefits
- Genomic Insights: Incorporating genomic data allows for the customization of RNA sequences based on individual genetic profiles, improving treatment efficacy.
- Proteomic Data: Understanding protein interactions helps in predicting how RNA therapies will behave within biological systems.
- Transcriptomic Analysis: Assessing gene expression and regulation provides critical information for designing effective RNA sequences.
- Holistic Approach: Combining various omic insights creates a detailed picture of patient health, informing our therapeutic strategies.
- Precision Targeting: Our multi-omic approach ensures that therapies are precisely targeted to disease mechanisms, enhancing their effectiveness.
Figure: Biomedical data modalities and opportunities for their application.(Acosta, J.N., Falcone, G.J., Rajpurkar, P. and Topoal, E.J. Nature Medicine [28] 2022.)
