| Prediction of mitochondrial proteins using support vector machine and hidden Markov model M Kumar, R Verma, GPS Raghava Journal of Biological Chemistry 281 (9), 5357-5363, 2006 | 132 | 2006 |
| Microbial proteases and application as laundry detergent additive D Kumar, TN Savitri, R Verma, TC Bhalla Research Journal of Microbiology 3 (12), 661-672, 2008 | 109 | 2008 |
| Prediction of mitochondrial proteins of malaria parasite using split amino acid composition and PSSM profile R Verma, GC Varshney, GPS Raghava Amino acids 39, 101-110, 2010 | 67 | 2010 |
| E-probe Diagnostic Nucleic acid Analysis (EDNA): a theoretical approach for handling of next generation sequencing data for diagnostics AH Stobbe, J Daniels, AS Espindola, R Verma, U Melcher, ... Journal of microbiological methods 94 (3), 356-366, 2013 | 58 | 2013 |
| The Pratylenchus penetrans transcriptome as a source for the development of alternative control strategies: Mining for putative genes involved in parasitism KK Vieira, Paulo, Sebastian Eves-van den Akker, Ruchi Verma, Sarah Wantoch ... plos one 10 (12), 2015 | 52 | 2015 |
| Identification of proteins secreted by malaria parasite into erythrocyte using SVM and PSSM profiles R Verma, A Tiwari, S Kaur, GC Varshney, GPS Raghava BMC bioinformatics 9, 1-11, 2008 | 48 | 2008 |
| Metagenomic search strategies for interactions among plants and multiple microbes U Melcher, R Verma, WL Schneider Frontiers in plant science 5, 86920, 2014 | 34 | 2014 |
| CancerPDF: a repository of cancer-associated peptidome found in human biofluids S Bhalla, R Verma, H Kaur, R Kumar, SS Usmani, S Sharma, ... Scientific reports 7 (1), 1511, 2017 | 30 | 2017 |
| A Support Vector Machine based method to distinguish proteobacterial proteins from eukaryotic plant proteins R Verma, U Melcher BMC bioinformatics 13, 1-8, 2012 | 20 | 2012 |
| Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning R Kaundal, SS Sahu, R Verma, T Weirick BMC bioinformatics 14, 1-14, 2013 | 17 | 2013 |
| Classifying nitrilases as aliphatic and aromatic using machine learning technique N Sharma, R Verma, Savitri, TC Bhalla 3 Biotech 8, 1-8, 2018 | 3 | 2018 |
| Bioinformatics strategies for microbial forensics W Schneider, R Verma, A Stobbe, J Daniels, A Espindola, T Blagden, ... PHYTOPATHOLOGY 103 (6), 176-176, 2013 | | 2013 |
| Next-generation diagnostics: Eliminating the excessive sequence processing associated with next-generation sequencing using EDNA WL Schneider, AH Stobbe, J Daniels, AS Espindola, R Verma, T Blagden, ... PHYTOPATHOLOGY 102 (7), 155-155, 2012 | | 2012 |
| Annotation of Plasmodium Falciparum Proteins using Machine Learning Techniques and Evolutionary Information. R Verma CSIR-IMTECH, Chandigarh/HPU, Shimla., 2010 | | 2010 |
| Clinical Study of Trauma in Children GP Shrivastava, RS Verma, V Yedalwar, M Kumar Child Survival and Health, 215, 2009 | | 2009 |
| Mitpred2: an improved method for predicting mitochondrial proteins using SVM and HMM M Kumar, R Verma, G Raghava | | 2007 |
