Sarkar, C., Parsad, R., Mishra, D. C., and Rai, A. (2021).
A Web Tool for Consensus Gene Regulatory Network Construction.Frontiers in Genetics, 12, 745827.
Sarkar, C., Parsad, R., Mishra, D.C. and Rai, A. (2020).
An ensemble approach for gene regulatory network study in rice blast.Journal of Crop and Weed, 16, 1–8.
Sarkar, C., Saklani, B.K., Singh, P.K., Asthana, R.K. and Sharma, T.R. (2019).
Variation in the LRR region of Pi54 protein alters its interaction with the AvrPi54 protein revealed in silico analysis.PloS ONE, 14(11), e0224088.
Ray, S., Singh, P.K., Gupta D.K., Mahato, A.K., Sarkar, C., Rathour, R., Singh, N.K. and Sharma, T.R. (2016).
Analysis of Magnaporthe oryzae genome reveals a fungal effector, which is able to induce resistance response in transgenic rice line containing resistance gene, Pi54.Frontiers in Plant Science, 7, 1140.
Book / Chapter
Iquebal, M. A., Jaiswal, S., Mukhopadhyay, C. S., Sarkar, C., Rai, A. and Kumar, D. (2015).
Applications of bioinformatics in plant and agriculture.
In PlantOmics: The Omics of Plant Science, Springer India, pp. 756–789.
DOI: 10.1007/978-81-322-2172-2_27.
Conference Proceedings
Sarkar, C., Parsad, R. and Misra, D.C. (2018).
An Ensemble Approach for Gene Regulatory Network Construction.
In e-Proceedings Research Frontiers in Precision Agriculture, pp. 243–245.
ISBN: 978-93-88237-13-0.
Sarkar C, Sarkar D, Parsad R, Mishra D (2022).
EGRNi: Ensemble Gene Regulatory Network Inference.
R package version 0.1.6,
https://CRAN.R-project.org/package=EGRNi.
Preprint Publications
Bardhan, K., & Sarkar, C. (2024).
Dgear: An Ensemble Based Majority Voting Algorithm for Differential Gene Expression Analysis.SSRNdoi.org/10.2139/ssrn.5035271
Sarkar, D., & Sarkar, C. (2024).
AttnSeq-PPI: Self and Cross Attention-Driven Prediction of sequence-based Protein-Protein Interactions.Authoreadoi.org/10.22541/au.172564049.94261164/v1