Anil Goud Jegga, DVM, MRes

Academic Affiliations

Associate Professor, UC Department of Pediatrics

Phone 513-636-0261

Fax 513-636-2056


Anil Jegga, DVM, MRes, is a biological and medically-oriented computational biologist. The mission of 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 big data deluge into systematized knowledge to understand the molecular basis of disease. To this effect, the lab continues with their focus on integration and mining of multiple sources of genomic, genetic, and biomedical big 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 biomedical problems. The lab is currently focusing on developing and implementing systems biology-based novel computational approaches to identify drug candidates for rare diseases. Specifically, the lab is integrating and mining genomic and compound screening-based big data to identify drug repositioning and novel drug candidates.

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.

View PubMed Publications

Patchala J, Jegga AG. Concept Modeling-based Drug Repositioning. AMIA Jt Summits Transl Sci Proc. 2015;2015:222-226.

Jegga AG. Candidate gene discovery and prioritization in rare diseases. Methods Mol Biol. 2014:1168:295-312.

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

Zhu C, Kushwaha A, Berman K, Jegga AG. A vertex similarity-based framework to discover and rank orphan disease-related genes. BMC Syst Biol. 2012;6 Suppl 3:S8.

Zhang M, Zhu C, Jacomy A, Lu LJ, Jegga AG. The orphan disease networks. Am J Hum Genet. 2011;88(6):755-766.

Sardana D, Zhu C, Zhang M, Gudivada RC, Yang L, Jegga AG. Drug repositioning for orphan diseases. Brief Bioinform. 2011;12(4):346-356.

Sardana D, Vasa S, Vepachedu N, Chen J, Gudivada RC, Aronow BJ, Jegga AG, PhenoHM. human-mouse comparative phenome-genome server. Nucleic Acids Res. 2010;38(Web Server issue):W165-174.

Chen J, Bardes EE, Aronow BJ, Jegga AG. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Res. 2009;37(Web Server issue):W305-311.

Chen J, Aronow BJ, Jegga AG. Disease candidate gene identification and prioritization using protein interaction networks. BMC Bioinformatics. 2009;10:73.

Jegga AG, Inga A, Menendez D, Aronow BJ, Resnick MA. Functional evolution of the p53 regulatory network through its target response elements. Proc Natl Acad Sci USA. 2008;105(3):944-949.