A photo of Anil Jegga.

Professor, UC Department of Pediatrics



Biography & Affiliation


Anil Jegga, DVM, MRes, is a biological and medically-oriented computational biologist. The mission of the Jegga Lab is to design, develop and apply novel and robust computational approaches that will accelerate the diffusion of genomics into biomedical research and education and convert the genomics data deluge into systematized knowledge to help us understand the molecular basis of disease. The lab continues with their focus on integration and mining of multiple sources of genomic, genetic and biomedical data to derive models for pathways and processes underlying development, disease and drug response. Independently and collaboratively, they have previously 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 biological problems. His team is currently focusing on developing and implementing systems biology-based novel computational approaches to identify drug candidates for rare lung disorders. They are also working to integrate and mine genomic and compound screening-based big data to identify drug repositioning and novel drug candidates.

Academic Affiliation

Professor, UC Department of Pediatrics


Biomedical Informatics

Science Blog


Master of Research: University of York, England, UK.

Master of Veterinary Science: College of Veterinary Science, Hyderabad, India.

Bachelor of Veterinary Science & Animal Husbandry: College of Veterinary Science, Hyderabad, India.


Selected Publication

Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers. Wang, Y; Yella, J; Chen, J; McCormack, FX; Madala, SK; Jegga, AG. BMC Pulmonary Medicine. 2017; 17.

Hsp90 regulation of fibroblast activation in pulmonary fibrosis. Sontake, V; Wang, Y; Kasam, RK; Sinner, D; Reddy, GB; Naren, AP; McCormack, FX; White, ES; Jegga, AG; Madala, SK. JCI insight. 2017; 2.

Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data. Sarangdhar, M; Tabar, S; Schmidt, C; Kushwaha, A; Shah, K; Dahlquist, JE; Jegga, AG; Aronow, BJ. Nature Biotechnology. 2016; 34:697-700.

Canonical genetic signatures of the adult human brain. Hawrylycz, M; Miller, JA; Menon, V; Feng, D; Dolbeare, T; Guillozet-Bongaarts, AL; Jegga, AG; Aronow, BJ; Lee, C; Bernard, A; et al. Nature Neuroscience. 2015; 18:1832-1844.

Concept Modeling-based Drug Repositioning. Patchala, J; Jegga, AG. Amia Summits on Translational Science Proceedings. 2015; 2015:222-226.

Computational drug repositioning through heterogeneous network clustering. Wu, C; Gudivada, RC; Aronow, BJ; Jegga, AG. BMC Systems Biology. 2013; 7 Suppl 5:S6-S6.

Drug repositioning for orphan diseases. Sardana, D; Zhu, C; Zhang, M; Gudivada, RC; Yang, L; Jegga, AG. Briefings in Bioinformatics. 2011; 12:346-356.

The Orphan Disease Networks. Zhang, M; Zhu, C; Jacomy, A; Lu, LJ; Jegga, AG. The American Journal of Human Genetics. 2011; 88:755-766.

ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Chen, J; Bardes, EE; Aronow, BJ; Jegga, AG. Nucleic Acids Research. 2009; 37:W305-W311.

Functional evolution of the p53 regulatory network through its target response elements. Jegga, AG; Inga, A; Menendez, D; Aronow, BJ; Resnick, MA. Proceedings of the National Academy of Sciences of USA. 2008; 105:944-949.