Author

P. Vivekanandan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. Ahmad· 1 shared A. K. Pandey· 1 shared A. Khezri· 1 shared A. Mishra· 1 shared A. Pal· 1 shared B. A. Evans· 1 shared B. Kundu· 1 shared B. S. Ahluwalia· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperBiophysics

A. Ahmad

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Author profile →

3 papers

Recent·Most cited

Spatial reorganization of Escherichia coli chromosome contextualizes triclosan stress-related genetic, epigenetic and transcriptome changes

D. Ghosh, B. A. Evans, P. Vivekanandan

The paper maps chromosomal interaction domains in E. coli under triclosan stress and links them to genetic, epigenetic, and transcriptome changes.

bioRxiv · Jul 11, 2023 · PreprintMicrobiology

SERS nanowire chip and machine learning enabled instant identification and classification of clinically relevant wild-type and antibiotic resistant bacteria at species and strain level

S. Das, K. Saxena, J.-C. Tinguely, A. Pal, N. L. Wickramasinghe, A. Khezri, V. K. Dubey, A. Ahmad, P. Vivekanandan, R. Ahmad, D. N. Wadduwage, B. S. Ahluwalia, D. S. Mehta

This paper develops a SERS chip combined with machine learning to rapidly identify and classify bacteria at species and strain levels, including antibiotic-resistant strains.

bioRxiv · Jan 12, 2023Biophysics

Uncanny similarity of unique inserts in the 2019-nCoV spike protein to HIV-1 gp120 and Gag

P. Pradhan, A. K. Pandey, A. Mishra, P. Gupta, P. K. Tripathi, M. B. Menon, J. Gomes, P. Vivekanandan, B. Kundu

The paper identifies four unique inserts in the 2019-nCoV spike protein that show similarity to HIV-1 gp120 and Gag, suggesting potential evolutionary links and implications for viral function and diagnosis.

bioRxiv · Jan 30, 2020 · PreprintEvolutionary Biology