Jigar Sheth | Bioinformatics Portfolio

About Me

Hi! I am a Bioinformatician Scientist at GBRC, India. My research focuses on microbial metagenomics to study microbial evolution, transmission, host-pathogen interactions to support the One Health framework. Furthermore, I am also deeply interested in Computational Biology, Statistics, Generative AI, and Deep Learning.

Beyond bioinformatics, I enjoy exploring Gujarati literature, scouting new culinary ideas, and occasionally challenging the status quo.

Projects

Analyzed Nanopore and Illumina metagenomic datasets
Identified viral co-infections in clincal specimen (SARS-CoV-2 & Rhinovirus A,B)
Developing workflow for hybrid assemblies and characterisation of Bacteriophages

Taxonomic profiling of clinical & vector specimen using Kraken2, GTDB-TK, GeNomad
Standarised workflow for retrieval of Metagenome-Assembled Genomes

Designed Random Forest model for tumor subtype classification from scRNA-Seq dataset
Identified non-coding RNA expressions in estrogen-response pathways in KAS-Seq and GRO-Seq datasets

Identified novel pH-sensitive residues (H141, H305)

Applied Molecular docking & Molecular docking simulation approaches to characterise mutations linked with M. Tuberculosis

Publications

Subtype-specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

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In silico structural and mechanical insights into bedaquiline resistance associated with high-grade non-synonymous mutations in atpE, mmpR5, and pepQ

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Designing multi-epitope based peptide vaccine targeting spike protein SARS-CoV-2 B1.1.529 (Omicron) variant using computational approaches⁠

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Contact

If you've made it this far, I'd be glad to connect. Whether you're interested in collaborating in bioinformatics or computational biology, discussing research, or simply talking science — feel free to reach out.

Email: jigarsheth03@gmail.com