SCBB | members

About IHBT

Research

Software & Web server

GitHub

Workshop/Conference

Career

Sunday October 19, 2025 7:59:23 am

Home

Research

Software & Web server

Lab Members

Publications

Workshop/Conference

GitHub

Careers

Qualification:

-

Area of Interest:

Deep Learning and Computational biology.

Publications:

† Equally contributed * Corresponding Author

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 (Accepted), 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

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: 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

Deep-Learning on condition specific expression profiles reveal critical cytosines in gene regulation
Veerbhan Kesarwani, Anchit Kumar, Akanksha Sharma, Sagar Gupta, Ravi Shankar*
bioRxiv, 2025 Read the research article here

Developed by Heikham Russiachand Singh (past member). Maintained by SCBB, Biotech Division.

Copyright © 2025, Institute of Himalayan Bioresource Technology.