Regulatory Genomics
Pinpointing variants, cis-regulatory elements, and signal flow that shape type 2 diabetes phenotypes.
Systems Biology for Metabolic Disease
Mapping theregulatory logicof diabetes genomics.
BDB Genomics builds computational pipelines for chromatin accessibility, regulatory modeling, and translational analysis centered on type 2 diabetes.
ATAC-seq
Chromatin accessibility workflows
RNA-seq
Regulatory signal integration
T2D
Disease-focused systems analysis
Mission
Decode how regulatory programs shape metabolic disease and turn multi-omic data into usable biological insight.
Focus
Interpretable epigenomics for type 2 diabetes
Research Focus
Built around regulatory mechanisms, not generic analytics.
The lab emphasizes chromatin accessibility, integrative functional genomics, and computational workflows that stay interpretable across public and in-house datasets.
Epigenomic Integration
Combining chromatin accessibility, transcriptomic, and functional readouts into interpretable models.
Translational Datasets
Building robust pipelines that translate public and in-house data into biologically useful hypotheses.
Software
R packages that extend the research workflow.
BDB Genomics packages are positioned as practical interfaces for large-scale epigenomic and evolutionary analysis in reproducible R workflows.
AlphaGenomeR
Genome-scale tooling for epigenomic analysis, signal extraction, and regulatory interpretation.
Evo2R
Interfaces for evolutionary genomics workflows that connect sequence context with functional insight.
Contact BDB Genomics
For collaborations, computational biology discussions, or package-related questions, reach out directly.
2032ushimanshu@gmail.com