1. Krishanu Bhowmick, Ankita Tehlan, Sunita, Renu Sudhakar, Inderjeet Kaur, Puran Singh Sijwali, Annangarachari Krishnamachari, Suman Kumar Dhar (2020) Journal of Cell Science, 133

 

2. AK Jaiswal,and A Krishnamachari (2019) Physicochemical property based computational scheme for classifying DNA sequence elements of Saccharomyces cerevisiae Computational biology and chemistry, 79, 193-201

 

3. U Singh, K Shah, S Dhar, V Singh, A Krishnamachari (2019) ORIS: An interactive software tool for prediction of replication origin in prokaryotic genomes. Journal of Open Source Software 40, 1589

 

4. VK Singh, V Kumar, A Krishnamachari (2018). Prediction of replication sites in Saccharomyces cerevisiae genome using DNA segment properties: Multi-view ensemble learning (MEL) approach Biosystems , 163, 59-69

 

5. M Agarwal, K Bhowmick, K Shah, A Krishnamachari, SKDhar (2017). Identification and characterization of ARS‐like sequences as putative origin(s) of replication in human malaria parasite Plasmodium falciparum. The FEBS journal, 284 (16) , 2674-2695

 

6. Vinod Kumar Singh and Krishnamachari A (2016) Context based computational analysis and characterisation of  ARS consensus sequences (ACS) of Sacchromyces cerevisae genome. Genomics Data, 9, p130-136

 

7. H Parikh, A Singh, A Krishnamachari, K Shah (2015) . Computational prediction of replication in bacterial genomes using correlated entropy measure (CEM) Biosystems 128, 19-25

 

8. U Singh, S Chauhan, A Krishnamachari, L Vig. Ensemble of deep long short term memory networks for labelling origin of replication sequences.v`Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE ...PARIS

 

9. Kushal Shah and A  Krishnamachari (2012) On the origin of three base periodicity in genomes Biosystems 107, p 142-144

 

10. Kushal Shah and A  Krishnamachari (2012). Nucleotide correlation based measure for identifying origin of replication in genomic sequences . Biosystems 107 , p 52-55

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

 

12. 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

 

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

 

14. 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.

                 

15. 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.