A collection of tools, packages, and resources I’ve built for the bioinformatics and data science community.
R package + Shiny app for doing significant biology on a set of genes. Functional enrichment, pathway analysis, and more in an intuitive interface.
Rmarkdown Templates — a collection of R Markdown templates for common scientific reporting use cases.
A personal R package — utility and wrapper functions, API calls, and daily-task helpers that I reuse across projects.
Explore gene expression dynamics across different strains and geographical locations. R package + Shiny app for ecological genomics.
The hosted Shiny version of EcoGEx — explore gene expression across strains and locations directly in your browser, no installation needed.
Compare transcriptomes of two developmental stages in Arabidopsis shoot. Useful for understanding gene regulation during development.
Explore abiotic stress response of a gene in plants. Query how your gene of interest responds to drought, heat, cold, and other stressors.
Small utility apps built on OpenCPU — interactive 3D PCA plot and heatmap generator for expression data.
A base Snakemake workflow template. A clean starting point for reproducible bioinformatics pipelines with best practices built in.
A base Nextflow pipeline template for scalable, containerized bioinformatics workflows.
A Docker container bundling Bioconductor and Shiny. Deploy Shiny apps with full Bioconductor support in one image.
R programming for biologists new to coding. Practical, biology-first examples designed to make R approachable for researchers.
A transcriptomic study on cold stress response in two Indian rice varieties. Identified differentially expressed genes and biological pathways involved in cold tolerance.