​​​​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: 

  1. Human Health and Medicine
  2. Microbial Engineering Informatics

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 f​or 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 Microbial Engineering Informatics 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).

  • Design novel computational biology/bioinformatics methods, resources, models and tools suited for high performance computing systems that will lead to and speed up development of applications in human health and medicine, synthetic biology and biotechnology, and validate these applications.
  • ​Developing novel computational solution for ​diagnostic biomarkers, new uses of drugs, personalised medicine, medical informatics.
  • ​Improving capacity to extract targeted relevant information from biological data through Big Data analytics.
  • Integrating experimental design, data generation and data analysis within domains of its activities. ​


  • 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 function​ing of microorganisms.
  • 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​

​Research Themes