Author

Upalabdha Dey

Tezpur UniversityORCID 0000-0002-8963-4346Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Assay:ChIP-seq· 2 Research Focus:differential expression· 2 Assay:DNA methylation· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Aditya Arun KumariD· 3 shared Venkata Rajesh YellaiD· 2 shared Gustavo Sganzerla MartineziD· 1 shared Jyotishpal Deka· 1 shared Mohit YadaviD· 1 shared Prerona Sharma· 1 shared Ravi KumariD· 1 shared Siddhartha Sankar SatapathyiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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3 shared papersBioinformatics

Aditya Arun KumarORCID

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3 papers

Recent·Most cited

Integration spots organize genome plasticity and shape accessory-genome architecture in Ralstonia solanacearum

Upalabdha Dey, Jyotishpal Deka, Prerona Sharma, Mohit Yadav, Siddhartha Sankar Satapathy, Suvendra Kumar Ray, Aditya Arun Kumar

The paper integrates genome data from Ralstonia solanacearum to identify integration spots linked to adaptive functions and genome plasticity.

bioRxiv · Apr 15, 2026 · PreprintGenomics

DNA Conformational Flexibility Descriptors Improve Transcription Factor Binding Prediction Across the Protein Families

Upalabdha Dey, Venkata Rajesh Yella, Aditya Arun Kumar

This study shows that DNA flexibility descriptors improve TF binding prediction across multiple TF families and experimental platforms.

bioRxiv · Jul 20, 2025 · PreprintBioinformatics

Quantifying the contribution of DNA conformational flexibility to transcription factor binding on nucleosomal DNA uncovers indirect readout across diverse TF families

Upalabdha Dey, Gustavo Sganzerla Martinez, Ravi Kumar, Venkata Rajesh Yella, Aditya Arun Kumar

The paper develops DNAflexpy to quantify DNA conformational flexibility and shows it improves TF binding prediction on nucleosomes, revealing indirect readout mechanisms across TF families.

bioRxiv · May 21, 2025 · PreprintBioinformatics