Big Data analytics in life sciences
CBRC works on problems of data integration and its application to life sciences relying on Big Data analytics solutions with focus on two domains:
- Human health and medicine
- Metabolic engineering and synthetic biology
In the human health and medicine domain, of particular interest are solutions for discovery of the new uses of existing drugs, so called drug repositioning; solutions for identification of diagnostic biomarkers based on NGS and epigenetic information with specific interest in cancers and cardiovascular diseases; solutions for specific problems in personalised medicine where the full advantage of the information from individual genome variation is taken into account; and solutions for efficient medical informatics related problems.
In the Metabolic engineering and synthetic biology domain, CBRC aims to develop computationally driven methodologies, tools and resources to enable, enhance and speed up development and design of efficient microbial cell factories (MCFs) (microorganisms engineered and optimized to produce biomass or specific chemicals for industrial use) and to validate the same in well-designed experiments).
- Bioinformatics software and knowledgebases
- AI and HPC bioinformatics solutions
- Next generation knowledge mining technologies
Computational and experimental microbial biotechnology
CBRC aims at developing:
- Infrastructure for bioinformatics and computational/mathematical
modelling of microbial systems to generate deeper insights into functioning of
- Infrastructure for rational design of synthetic biology constructs (parts
and their compositions) to enable informed engineering of microorganisms for
industrial applications feasible and relevant within the Saudi Arabian context.
- Engineered microorganisms capable of carbon capture and conversion to
targeted industrially important chemicals, enzymes or biomass.
- Center Competitive Funding (CCF): Platforms for design and evaluation of microbial cell factories (MCFs)
- Partnership Funding