Rajeev Azad | Department of Biological Sciences

Rajeev Azad

Professor- Bioinformatics

Google Scholar; PubMed

Dr. Azad's research interests lie in the broad areas of bioinformatics and computational biology, including computational genomics and transcriptomics, genome evolution, pathogenomics, metagenomics, and network biology.


  • Doctor of Philosophy, Mathematical Modeling of Nonlinear Biological and Physical Systems, Jawaharlal Nehru University, New Delhi
  • Master of Philosophy, Mathematical Modeling of Nonlinear Biological and Physical Systems, Jawaharlal Nehru University, New Delhi

Selected Publications:

The following are Dr. Azad's recent publications:

  • De R, Whiteley M, Azad RK. A gene network-driven approach to infer novel pathogenicity-associated genes: application to Pseudomonas aeruginosa PAO1. mSystems. 2023 Dec 21;8(6):e00473-23.
  • Burks DJ, Pusadkar V, Azad RK. POSMM: an efficient alignment-free metagenomic profiler that complements alignment-based profiling. Environmental Microbiome. 2023 Dec;18(1):1-3.
  • Sengupta S, Azad RK. Leveraging comparative genomics to uncover alien genes in bacterial genomes. Microbial Genomics. 2023;9(1).
  • Gore S, Azad RK. CancerNet: a unified deep learning network for pan-cancer diagnostics. BMC bioinformatics. 2022 Dec;23(1):1-7.
  • Sengupta S, Azad RK. Reconstructing horizontal gene flow network to understand prokaryotic evolution. Open Biology. 2022 Nov 30;12(11):220169.
  • Burks DJ, Azad RK. Mapping Strengths and Weaknesses of Different Clustering Approaches to Deciphering Bacterial Chimerism. OMICS: A Journal of Integrative Biology. 2022 Aug 1;26(8):422-39.
  • Burks DJ, Sengupta S, De R, Mittler R, Azad RK. The Arabidopsis gene co‚Äźexpression network. Plant Direct. 2022 Apr;6(4):e396.
  • Sunuwar J, Azad RK. A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strains. Briefings in Bioinformatics. 2021 Nov;22(6):bbab179.
  • Dixson JD, Azad RK. A novel predictor of ACE2-binding ability among betacoronaviruses. Evolution, medicine, and public health. 2021 Jan 1;9(1):360-73.
  • Burks DJ, Azad RK. Higher-order Markov models for metagenomic sequence classification. Bioinformatics. 2020 Jul 15;36(14):4130-6.
  • Zandalinas SI, Fichman Y, Devireddy AR, Sengupta S, Azad RK, Mittler R. Systemic signaling during abiotic stress combination in plants. Proceedings of the National Academy of Sciences. 2020 Jun 16;117(24):13810-20.
  • Jani M, Azad RK. IslandCafe: compositional anomaly and feature enrichment assessment for delineation of genomic islands. G3: Genes, Genomes, Genetics. 2019 Oct 1;9(10):3273-85.