Computational identification and analysis of neurodegenerative disease associated protein kinases in hominid genomes S Jayapalan, D Subramanian, J Natarajan Genes & diseases 3 (3), 228-237, 2016 | 16 | 2016 |
Network analysis of S. aureus response to ramoplanin reveals modules for virulence factors and resistance mechanisms and characteristic novel genes D Subramanian, J Natarajan Gene 574 (1), 149-162, 2015 | 16 | 2015 |
Text mining and network analysis to find functional associations of genes in high altitude diseases B Bhasuran, D Subramanian, J Natarajan Computational biology and chemistry 75, 101-110, 2018 | 15 | 2018 |
Genomic analysis of RNA-Seq and sRNA-Seq data identifies potential regulatory sRNAs and their functional roles in Staphylococcus aureus D Subramanian, B Bhasuran, J Natarajan Genomics 111 (6), 1431-1446, 2019 | 14 | 2019 |
S1182 serum protein signatures determined by mass spectrometry (SELDI-ToF) accurately distinguishes Crohn's disease (CD) from ulcerative colitis (UC) V Subramanian, D Subramanian, RC Pollok Gastroenterology 134 (4), A-196, 2008 | 11 | 2008 |
RNA-seq analysis reveals resistome genes and signalling pathway associated with vancomycin-intermediate Staphylococcus aureus D Subramanian, J Natarajan Indian journal of medical microbiology 37 (2), 173-198, 2019 | 8 | 2019 |
Analysis of chromate transporters in bacterial species for Cr (VI) reduction isolated from tannery effluent contaminated site of Dindigul district, Tamil Nadu, India P Selvakumar, D Subramanian, J Natarajan, P Solai Ramatchandirane Geomicrobiology Journal 38 (7), 598-606, 2021 | 6 | 2021 |
Integrated meta-analysis and machine learning approach identifies acyl-CoA thioesterase with other novel genes responsible for biofilm development in Staphylococcus aureus D Subramanian, J Natarajan Infection, Genetics and Evolution 88, 104702, 2021 | 5 | 2021 |
Design, synthesis and evaluation of antimicrobial database-derived peptides against drug-resistant gram-positive and gram-negative pathogens D Subramanian, V Chakkyarath, SM Kumaravel, BP Venkatesan, ... International Journal of Peptide Research and Therapeutics 27, 1459-1468, 2021 | 3 | 2021 |
Leveraging big data bioinformatics approaches to extract knowledge from Staphylococcus aureus public omics data D Subramanian, J Natarajan Critical Reviews in Microbiology 49 (3), 391-413, 2023 | 2 | 2023 |
Bioinformatics Applications in Fungal Siderophores: Omics Implications D Subramanian, V Chakkyarath, J Natarajan Fungal Siderophores: From Mineral―Microbe Interactions to Anti …, 2021 | 1 | 2021 |
RNA-seq analysis reveals resistome genes and signalling pathway associated with vancomycin-intermediate Staphylococcus aureus. DS Devika Subramanian, JN Jeyakumar Natarajan | | 2019 |
Phylogeny and domain examination of two-component regulatory systems across staphylococcal species JN Devika Subramanian Indian Journal of Biotechnology 16 (October 2017), 542-550, 2017 | | 2017 |
Network analysis of S. aureus response to ramoplanin reveals modules for virulence factors and resistance mechanisms and characteristic novel genes. DS Devika Subramanian, JN Jeyakumar Natarajan | | 2015 |
Serum protein signatures determined by mass spectrometry (SELDI-ToF) accurately identifies patients with inflammatory bowel disease by support vector machines with linear kernels V Subramanian, D Subramanian, S Krishna, D Agranoff, R Pollok GASTROENTEROLOGY 130 (4), A215-A215, 2006 | | 2006 |
Multi-variate Time-series Analysis Using VECM Identifies the Best Set of Exogenous Predictors for Rainfall and Temperature in India: A Data Analytical Approach R Sudheesh, D Subramanian | | |
Multi-Variate Time-Series Analysis Using VECM Identifies the Best Exogenous Predictors for Rainfall and Temperature in India: A Data Analytical Approach S Radhakrishnan, D Subramanian Available at SSRN 4171156, 0 | | |