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About IHBT

Research

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GitHub

Workshop/Conference

Career

Monday June 15, 2026 1:32:40 am

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Research

Software & Web server

Lab Members

Publications

Workshop/Conference

GitHub

Careers

Qualification:

M.Tech. in Biochemical Engineering, IIT-BHU, Varanasi, UP

Area of Interest:

Computational network biology.

Publications:

† Equally contributed * Corresponding Author

Genome-wide identification, characterization, and expression pattern analysis of the glyoxalase gene family in Phyllostachys pubescens during abiotic stresses
Anita Kumari^†, Umesh Bhati^†, Ravi Shankar, Sudesh Kumar Yadav, Sudhir Kumar Sopory, Rohit Joshi*
BMC Plant Biology, 2025 Read the research article here

DMRU: Generative deep learning to unravel condition-specific cytosine methylation in plants
Sagar Gupta, Anchit Kumar, Veerbhan Kesarwani, Umesh Bhati, Ravi Shankar*
Briefings in Bioinformatics, 2025 Read the research article here

PTF-Vāc: An explainable and generative deep co-learning encoders-decoders system for ab-initio discovery of plant transcription factor binding sites
Sagar Gupta, Jyoti, Umesh Bhati, Veerbhan Kesarwani, Akanksha Sharma, Ravi Shankar*
Plant Communications, 2025 Read the research article here

Decoding stress specific transcriptional regulation by causality aware Graph-Transformer deep learning
Umesh Bhati, Akanksha Sharma, Sagar Gupta, Anchit Kumar, Upendra Kumar Pradhan, Ravi Shankar*
Current Plant Biology, 2025 Read the research article here

PTFSpot: deep co-learning on transcription factors and their binding regions attains impeccable universality in plants
Sagar Gupta, Veerbhan Kesarwani, Umesh Bhati, Jyoti, Ravi Shankar*
Briefings in Bioinformatics, 2024 Read the research article here

Conference Poster: DMRU: Generative Deep-Learning to unravel condition specific cytosine methylations in plants
Sagar Gupta, Anchit Kumar, Veerbhan Kesarwani, Umesh Bhati, Ravi Shankar*
GIW XXXIV ISCB-Asia,
International Conference on Genome Informatics ISCB-Asia, Hong Kong, 2025
Find the conference poster here

Conference Talk: Decoding stress specific transcriptional regulation by causality aware Graph-Transformer deep learning
Umesh Bhati, Akanksha Sharma, Sagar Gupta, Anchit Kumar, Upendra Kumar Pradhan, Ravi Shankar*
JXB 75th Anniversary Conference, Edinburgh, United Kingdom, 2025
Find the conference talk pdf here

Conference Poster: Decoding stress specific transcriptional regulation by causality aware Graph-Transformer deep learning
Umesh Bhati, Akanksha Sharma, Sagar Gupta, Anchit Kumar, Upendra Kumar Pradhan, Ravi Shankar*
22nd Horizons in Molecular Biology Symposium,
Max Planck Institute for Multidisciplinary Sciences, Gottingen, Germany, 2025
Find the conference poster here

Conference Poster: Decoding Plant TF-DNA Interactions Using PTFSpot and PTF-Vac: A Universal and Data-Independent Deep Learning Approach
Sagar Gupta, Jyoti, Umesh Bhati, Veerbhan Kesarwani, Akanksha Sharma, Ravi Shankar*
22nd Horizons in Molecular Biology Symposium,
Max Planck Institute for Multidisciplinary Sciences, Gottingen, Germany, 2025
Find the conference poster here

Conference Poster: The Genomics Armoury @ The Himalayan Centre for High-throughput Computational Biology
Sagar Gupta, Umesh Bhati, Jyoti, Veerbhan Kesarwani, Akanksha Sharma, Anchit Kumar, Ravi Shankar*
Genomics India Conference, IISc, Bengaluru, 2025 Find the conference poster here

GANGE: Achieving Sequencing Without Sequencing With Diffusion Guided Generative Genomic Transformer
Sagar Gupta, Acnhit Kumar, Umesh Bhati, Ravi Shankar*
bioRxiv, 2026 Read the research article here

ProMaya: a hierarchical universal Deep Learning framework for accurate and interpretable Protein-Protein interaction identification
Umesh Bhati, Sagar Gupta, Veerbhan Kesarwani, Ravi Shankar*
bioRxiv, 2026 Read the research article here

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