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1. Kumar R, Garg A, Kumari B, Jain A, and Kumar M (2021) "Identification of chloroplast and sub-chloroplast proteins from sequence-attributed features using support vector machine and domain information," IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2021, pp. 1-9, doi: 10.1109/CIBCB49929.2021.9562787

2. Zhang P, Palmisano A, Kumar R, Ming-Chung Li, McShane L, James H. Doroshow, Zhao Y (2021) TPWshiny: an interactive R/Shiny app to explore the cell line transcriptional responses to anti-cancer drugs, Bioinformatics, btab619, https://doi.org/10.1093/bioinformatics/btab619.

3. Kumar R#, Dhanda S K (2020) Bird Eye View of Protein Subcellular Localization Prediction. Life (Basel). DOI: 10.3390/life10120347.

4. Garg A, Singhal N, Kumar R, Kumar M (2020), mRNALoc: a novel machine-learning based in-silico tool to predict mRNA subcellular localization. Nucleic Acids Research. DOI: 10.1093/nar/gkaa385

5. Oren E, Tzuri G, Dafna A, Meir A, Kumar R et al. (2020), High-density NGS-based map construction and genetic dissection of fruit shape and rind netting in Cucumis melo. Theoretical and Applied Genetics         DOI: 10.1007/s00122-020-03567-3.

6. Kumari B, Kumar R, Kumar M (2019), Identifying residues that determine Palmitoylation using association rule mining. Bioinformatics DOI: 10.1093/bioinformatics/btz003.

7. Kumari B, Kumar R, Chauhan V, Kumar M (2018), Comparative functional analysis of proteins containing low-complexity credited amyloid regions. PeerJ 6:e5823.

8. Srivastava A*, Kumar R*, Kumar M (2018), BlaPred: predicting and classifying beta-lactamasde using a 3-tier prediction system via Chou's general PseAAC. Journal of Theoretical Biology 457:29-36.

9. Kumari B, Kumar R, Kumar M (2018), Prediction of rare Palmitoylation events in proteins. Journal of Computational Biology 25 (9):997-1008.

10. Kumar R, Kumari B, Kumar M (2018), Proteome-wide prediction and annotation of mitochondrial and sub-mitochondrial proteins by incorporating domain information. Mitochondrion 42:11-22.

11. Garg A, Kumari B, Kumar R, Kumar M (2017), MiPepBase: A database of experimentally verified peptides involved in molecular mimicry. Frontiers in Microbiology 8:2053.

12. Kumar R, Kumari B, Kumar M (2017), Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machine. PeerJ 5:e3561.

13. Kumar R, Kumari B, Kumar M (2016), PredHSP: Sequence based proteome-wide heat shock protein prediction and classification tool to unlock the stress biology. PlosOne 11(5):e0155872.

14. Kumari B, Kumar R, Kumar M (2014), Low complexity and disordered regions of proteins have different structural and amino acid preferences. Molecular Biosystems 11, 585-594.

15. Kumar R*, Kumari B*, Srivastava A, Kumar M (2014), NRfamPred: A proteome-scale two level method for prediction of nuclear proteins and their subfamilies. Scientific Reports 4, 6810.

16. Kumar R*, Srivastava A*, Kumari B, Kumar M (2015), Prediction of betalactamase and its class by Chou's Pseudo-amino acid composition and support vector machine. Journal of Theoretical Biology 365, 96-103.

17. Kumari B*, Kumar R*, Kumar M (2014), PalmPred: An SVM Based Palmitoylation prediction method using sequence profile information. PlosOne 9(2): e89246.

18. Kumar R, Jain S, Kumari B, Kumar M (2014), Protein sub-nuclear localization prediction using SVM and Pfam domain information. PlosOne 9(6): e98345.

*Equal Contribution; #Corresponding Author

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Books/Book Chapter

1. Kumar R*. Ruhel, R (2021) “Application of system biology approaches for fungal disease in animals.”  Volume II, Fungal Diseases in Animals. Springer. ISBN: 978-3-030-69506-4

2. Kumar R*, Ruhel R (2019), Emergence of Invasive Fungal Infection: Diagnosis and Treatment in Humans. In: Gupta A., Singh N. (eds) Recent Developments in Fungal Diseases of Laboratory Animals. Fungal Biology. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-18586-2_9.                                            

*Corresponding Author

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