DMRU: Generative Deep-Learning to unravel condition specific cytosine methylation in plants.
PTF-Vāc: An explainable and generative deep co-learning encoders-decoders system for ab-initio discovery of plant transcription factor binding sites.
Decoding stress specific transcriptional regulation by causality aware Graph-Transformer deep learning.
Genome-wide identification, characterization, and expression pattern analysis of the glyoxalase gene family in Phyllostachys pubescens during abiotic stresses.
Deep-Learning on condition specific expression profiles reveal critical cytosines in gene regulation.
Ms. Jyoti has been selected to present her research work "Comprehensive analysis of computational approaches in plant transcription factors binding regions discovery" at the GIW ISCB-Asia 2025, Hong Kong.
Mr. Sagar Gupta has been selected to present his research work "DMRU: Generative Deep-Learning to unravel condition specific cytosine methylation in plants" at the GIW ISCB-Asia 2025, Hong Kong.
Mr. Veerbhan Kesarwani receives ANRF-ITS travel grant to present his work at CSPB Western Regional Meeting, 2025 Organized by Canadian Society of Plant Biologists, Canada.
Mr. Umesh Bhati receives JXB grant to present his work at 75th Symposium of the Journal of Experimental Botany (JXB) and Society for Experimental Biology (SEB), Edinburgh, United Kingdom.
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Mr. Sagar Gupta receives DBT-CTEP travel grant to present his work at 22nd Horizons in Molecular Biology Symposium, Max Planck Institute for Multidisciplinary Sciences, Gottingen, Germany.
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Mr. Umesh Bhati receives DBT-CTEP travel grant to present his work at 22nd Horizons in Molecular Biology Symposium, Max Planck Institute for Multidisciplinary Sciences, Gottingen, Germany.
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Dr. Ravi Shankar delivered talk at the Genomics India Conference, IISc, Bengaluru, 2025, Bengaluru, India.
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Mr. Sagar Gupta, Mr. Umesh Bhati, and Ms. Jyoti presented a poster at the Genomics India Conference, IISc, Bengaluru, 2025, Bengaluru, India.
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