Author

Shri Vishalini Rajaram

University of IowaORCID 0000-0002-2446-9642Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Assay:metagenomics· 2 Research Focus:software / tool· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Erliang ZengiD· 3 shared Areejit SamaliD· 2 shared Ajaya Kumar SahooiD· 1 shared Celin AcharyaiD· 1 shared Darrin Adam ThompsoniD· 1 shared David M. CwiertnyiD· 1 shared Devanshi KhareiD· 1 shared Evanjalee Albert Arokiyaraj· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Erliang ZengORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Sec and Tat mediated secretion safeguards Mycobacterium tuberculosis membrane homeostasis

Priyadarshini Sanyal, Uppada Jagadeeshwari, Sanjeev Sinha, Yashasvi Bhat, Sidra Khan, Shri Vishalini Rajaram, Evanjalee Albert Arokiyaraj, Gagan Deep Jhingan, Nisheeth Agarwal, Areejit Samal, Vinay Kumar Nandicoori

This study identifies SecA1 and TatA as critical for Mycobacterium tuberculosis membrane integrity through multi-omics and functional genetics analyses.

Molecular & Cellular Proteomics · Mar 17, 2026Peer-reviewedMicrobiology

New paradigm of CRISPR spacerome for classification of global Escherichia coli lineages

Hanseob Shin, Shri Vishalini Rajaram, P. K. Singh, Erliang Zeng, David M. Cwiertny, Timothy E. Mattes, Michael Pentella, Megan J. Nelson, Ryan T Jepson, Darrin Adam Thompson

The paper identifies a conserved CRISPR spacerome signature across globally distributed E. coli strains, suggesting its potential as a marker for epidemiological tracking.

bioRxiv · Jan 12, 2026 · PreprintMicrobiology

DeepBioSim: Efficient and Versatile Methods for Microbiome Data Simulation with Minimal Statistical Assumptions

Yiyang Shen, Shri Vishalini Rajaram, Weiran Wang, Erliang Zeng

DeepBioSim generates realistic microbiome datasets using deep learning, without strong assumptions or phylogenetic input, and can also simulate single-organism omics profiles.

bioRxiv · Aug 21, 2025 · PreprintBioinformatics

Metatranscriptomic analysis reveals toxin-antitoxin system shifts in caries-associated oral microbiomes

Shri Vishalini Rajaram, Priyanka Singh, Erliang Zeng

The paper analyzes metatranscriptomic data to identify condition-specific toxin-antitoxin system expression in oral microbiomes across health and caries states.

bioRxiv · Aug 7, 2025 · PreprintBioinformatics

T9GPred: A Comprehensive Computational Tool for the Prediction of Type 9 Secretion System, Gliding Motility and the Associated Secreted Proteins

Ajaya Kumar Sahoo, R.P. Vivek-Ananth, Nikhil Chivukula, Shri Vishalini Rajaram, Karthikeyan Mohanraj, Devanshi Khare, Celin Acharya, Areejit Samal

T9GPred predicts Type 9 secretion system, gliding motility, and associated secreted proteins in Bacteroidetes strains using curated experimental data and signal domain analysis.

ACS Omega · Sep 8, 2023Peer-reviewedBioinformatics