A. Krishnamachari
Assistant Professor
Hall No. 8, Lecture Halls Complex
School of  Information Technology
Off. Phone : 26738703
Email : chari@mail.jnu.ac.in

Dr. A. Krishnamachari holds a Masters degree in Physics and  obtained his Ph.D for his work on “Investigations of Entropy measures for DNA and protein binding site sequences” from Jawaharlal Nehru University. He has taught  various courses on “Compuational methods for sequence analysis” for Diploma , M.Tech and Ph.D  Students. Dr. Chari’s special research interest is in unraveling information from genomic regulatory sequences using computational approaches. This includes motif discovery, pattern finding, prediction of promoter and transcription factor binding sequences across the three domains of life. His current  focus is on predicting target  genes for stress responses with special emphasis on  cancer causing genes. He was also recipient of Fulbright fellowship in the year 2002.

Selected Publications:

  1. Kushal Shah and A. Krishnamachari (2011) On the origin of three base periodicity in genomes.  Biosystems(accepted) 

  2. Kushal Shah and  A  Krishnamachari (2011). Nucleotide correlation based measure for identifying origin of replication in genomic sequences . Biosystems (in Press)

  3. Payal Singh , Pradipta Bandhyopadhyay, Sudha Bhattacharya, A. Krishnamachari and Supratim Sengupta (2009) Riboswitch detection using profile hidden markov models. BMC Bioinformatics, 10 :325

  4. Ilya G. Lyakhov, Annangarachari Krishnamachari and Thomas D. Schneider (2008) Discovery of novel tumor suppressor p53 response elements using information theory. Nucleic Acids Res. 36:3828-3833

  5. S.P. Pandey and A. Krishnamachari (2006). Computational analysis of plant RNA Pol-II promoters. BioSystems 83 p38–50

  6. Karmeshu and Krishnamachari (2004) . Sequence variability and long-range dependence in DNA: An Information theoretic perspective Lecture notes in Computer Science. Vol. 3316, p1354, Springer

  7. Krishnamachari, Vijnan moy Mondal and Karmeshu (2004) . Study of DNA binding sites using the Renyi parametric entropy measure. Journal of Theoretical Biology 227 429–436

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