M.Sc. in
Bioinformatics, Center of Bioinformatics, University of Allahabad, Prayagraj, UP
Area of Interest:
Deep learning, and Computational Regulomics.
Publications:
† Equally contributed * Corresponding Author
PTF-Vac: Ab-initio discovery of plant transcription factors binding sites using deep co-learning encoders-decoders Sagar Gupta, Jyoti, Umesh Bhati, Veerbhan Kesarwani, Ravi Shankar*
bioRxiv, 2024 Read research article here
Comprehensive analysis of computational approaches in plant transcription factors binding regions discovery
Jyoti, Ritu, Sagar Gupta, Ravi Shankar*
Heliyon, 2024 Read research article here
Genome wide identification of WUSHEL-related homeobox genes reveal their differential regulation during cold stress and in vitro organogenesis in Picrorhiza kurrooa
Jhilmil Nath, Shubham Joshi, Sagar Gupta, Veerbhan Kesarwani, Ravi Shankar and Rohit Joshi*
In Vitro Cellular & Developmental Biology - Plant, 2024Read 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 research article here
miWords: Transformers based composite deep-learning for highly accurate discovery of pre-miRNA regions across plant genomes Sagar Gupta, Ravi Shankar*
Briefings in Bioinformatics, 2023Read research article here
DeepPlnc: Bi-modal Deep Learning for Highly Accurate Plant lncRNA Discovery
Ritu†, Sagar Gupta†, Nitesh Kumar Sharma, Ravi Shankar*
Genomics, 2022 Read research article here
RBPSpot: Learning on Appropriate Contextual Information for RBP Binding Sites Discovery
Nitesh Kumar Sharma†, Sagar Gupta, Prakash Kumar, Ashwani Kumar, Upendra Kumar Pradhan, Ravi Shankar*
iScience, 2021 Read research article here
miRbiom: Machine-Learning on Bayesian Causal Nets of RBP-miRNA interactions successfully predicts miRNA profiles
Upendra Kumar Pradhan†, Nitesh Kumar Sharma†, Prakash Kumar, Ashwani Kumar, Sagar Gupta, Ravi Shankar*
PLoS ONE, 2021 Read research article here
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