Anil Jegga, DVM, MRes, is a biological and medically-oriented computational biologist. His lab focuses on systems biology of rare disorders, drug discovery and drug response. 

The mission of the Jegga Lab is to design, develop and apply novel and robust data-driven computational approaches that will accelerate the diffusion of genomics and biomedical data into translational research and education. To this effect, they are working to convert the genomics and biomedical data deluge into systematized knowledge to help us understand the molecular basis of disease and enable therapeutic discovery.

Independently and collaboratively, they have developed and published tools that allow biologists with minimal computational experience to integrate diverse data types and synthesize hypotheses about gene and pathway function in human and mouse. These tools are designed to answer several straightforward questions that biologists frequently encounter while trying to apply systems-level analyses to specific biomedical problems. The team is currently focusing on developing and implementing systems biology-based novel computational approaches to identify drug candidates for rare lung disorders such as idiopathic pulmonary fibrosis and cystic fibrosis. They are also working to integrate and mine genomic and compound screening-based big data to identify drug repositioning and novel drug candidates and to understand the molecular basis of drug-induced diseases.

For additional information, visit Dr. Jegga’s externally hosted lab website

Major Lines of Research

Rare disease, drug repositioning, translational bioinformatics, translational genomics, systems medicine.

Software and Databases

The Jegga Lab has created several analytical servers and resources, independently and collaboratively, designed to help researchers understand biological networks and the molecular basis of disease: