Bio
Dr. Azad received his Ph.D.at the Jawaharlal Nehru University in New Delhi where he specialized in Mathematical Modeling of Nonlinear Biological and Physical Systems. Since joining UNT in 2011, Dr. Azad has taught several math and biology courses including Advanced Topics in Computational Life Science and Quantitative & Computational Biology.
Education
Ph.D., Mathematical Modeling of Nonlinear Biological and Physical Systems, Jawaharlal Nehru University, New Delhi, 2002
M. Phil., Mathematical Modeling of Nonlinear Biological and Physical Systems, Jawaharlal Nehru University, New Delhi, 1998
Courses
BIOL 5005: Contemporary Topics in Biology
BIOL 6810: Advanced Topics in Computational Life Science
CSCE 5933: Topics in Computer Science and Engineering
CSCE 6810: Advanced Topics in Computational Life Science
MATH 5700: Selected Topics in Contemporary Mathematics
MATH 6710: Topics in Applied Mathematics
Articles
Azad, R. K., & Lawrence, J. G. (2011). Towards more robust methods of alien gene detection. Nucleic Acids Research. 39(9), e56.
Arvey, A. J., Azad, R. K., Raval, A., & Lawrence, J. G. (2009). Detection of genomic islands via segmental genome heterogeneity. Nucleic Acids Research. 37(16), 5255-5266.
Azad, R. K., & Lawrence, J. G. (2007). Detecting laterally transferred genes: Use of entropic clustering methods and genome position. Nucleic Acids Research. 35(14), 4629-4639.
More Articles
Thakur, V., Azad, R. K., & Ramaswamy, R. (2007). Markov models of genome segmentation. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics. 75(1).
Comas, I., Moya, A., Azad, R. K., Lawrence, J. G., & Gonzalez-Candelas, F. (2006). The evolutionary origin of xanthomonadales genomes and the nature of the horizontal gene transfer process. Molecular Biology and Evolution. 23(11), 2049-2057.
Azad, R. K., & Lawrence, J. G. (2005). Use of artificial genomes in assessing methods for atypical gene detection. PLoS Computational Biology. 1(6), e56.
Azad, R. K., & Borodovsky, M. (2004). Probabilistic methods of identifying genes in prokaryotic genomes: Connections to the HMM Theory. Brief Bioinform. 5(2), 118-130.
Azad, R. K., & Borodovsky, M. (2004). Effects of choice of DNA sequence model structure on gene identification accuracy. Bioinformatics. 20(7), 993-1005.
Azad, R. K., Rao, J. S., & Ramaswamy, R. (2004). Symbol sequence analysis of climatic time signals. Nonlinear Analysis: Real World Applications. 5, 487-500.
Azad, R. K., Rao, J. S., Li, W., & Ramaswamy, R. (2002). Simplifying the mosaic description of DNA sequences. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics. 66(3).
Books
Azad, R. K., & Lawrence, J. G. (2011). Detecting laterally transferred genes. In M. Anisimova (Ed.), Evolutionary Genomics: Statistical and Computational Methods (Vol. 1). Springer.
Azad, R. K. (2008). Genes in prokaryotic genomes and their computational prediction. In Y. Xu & J. Gogarten (Eds.), Computational Methods for Understanding Bacterial and Archaeal Genomes: Series on Advances in Bioinformatics and Computational Biology (Vol. 7). London: Imperial College Press.
Azad, R. K., Lawrence, J. G., Thakur, V., & Ramaswamy, R. (2007). Segmentation of genomic DNA sequences. In T. Pham, H. Yan & D. Crane (Eds.), Advanced Computational Methods for Biocomputing and Bioimaging, New York: Nova Science Publishers.
More Books
Borodovsky, M., & Azad, R. K. (2004). Bioinformatics, sec 4.2: Prokaryotic gene identification in silico. In M. Dunn, L. Jorde, P. Little & S. Subramaniam (Eds.), Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. John Wiley & Sons.