Subinoy Biswas

Executing NGS data analysis and visualization projects using R and Python for various research initiatives, with a focus on single-cell and spatial RNA-Seq optimization for high-throughput genomic studies.

Identified CNVs using Parliament2 and Manta, advancing Alzheimer’s disease cohort studies. Performed variant analysis and led comprehensive association studies integrating multi-omics data.

Developed variant analysis pipelines for Human WGS and WES utilizing GATK4, designed CNV and RNA-Seq workflows, and engineered AWS-based genomics platforms to enhance scalability.

Identified cancer biomarkers through ATAC-Seq data analysis and conducted single-cell RNA-Seq analyses to derive insights from cancer patient samples.

Analyzed co-evolution networks and performed bulk RNA-Seq analysis on mouse stem cell datasets while managing a CentOS 7 HPC cluster.

Collaborated on drug repurposing projects, providing critical data analysis and maintaining strong communication with pharmaceutical stakeholders.

Analyzed RNA-Seq data from Poplar trees and built co-expression networks to identify functional gene modules, integrating RNA-Seq and WGS data.

Completed a Ph.D. in Bioinformatics with a thesis focused on 'Studies on PCNA and Their Interacting Proteins'. This program involved extensive research in bioinformatics methodologies and applications.

Earned a Master's degree in Zoology with a specialization in Parasitology, focusing on the biological aspects of parasitic organisms.