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Devika Subramanian
Devika Subramanian
Bharathiar University
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Cited by
Cited by
Year
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
162016
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
162015
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
152018
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
142019
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
112008
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
82019
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
62021
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
52021
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
32021
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
22023
Bioinformatics Applications in Fungal Siderophores: Omics Implications
D Subramanian, V Chakkyarath, J Natarajan
Fungal Siderophores: From Mineral―Microbe Interactions to Anti …, 2021
12021
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
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