Shiny Apps
Currently Available Online
Below is a curated list of useful online tools and Shiny apps developed by the community to support a range of genomic and data science workflows.
General Shiny Platforms
- Posit Shiny Gallery (R): A collection of public Shiny apps
- Posit Connect Demo Gallery: Interactive apps built with R and Python
- ShinyProxy Demo Apps: Enterprise-grade deployment of Shiny apps
- Dash App Gallery (Python & R): Gallery of data apps built using Plotly Dash.
- Awesome R Shiny (GitHub): A curated list of Shiny apps, extensions, and resources.
Power Analysis
- ShinyPower: Power analysis for t-tests, ANOVA, regression, etc.
- Crab Power Analysis GUI: Unofficial GUI based on the pwr R package
- RNASeqPower (Bioconductor): Power calculations for RNA-seq experiments (R package only)
- pwr R package apps (Unofficial interfaces) — GUI tools built on the pwr package for common test types.
GWAS Tools
- GWAS Shiny App: Run GWAS
- GWAS Catalog (EMBL-EBI): Searchable database and explorer of published GWAS results.
- LDlink: Linkage disequilibrium and population structure analysis
- LocusZoom Web: Plot regional GWAS association results
Data Visualisation
- iSEE (Bioconductor): Interactive visual exploration of SummarizedExperiment objects
- VolcaNoseR: Interactive volcano plot generator with annotation tools
- Plotly Dash Portal: Dash app collection for Python and R
- ggplot2 Shiny Explorer: Adjust ggplot2 visualizations interactively
- BioJupies: Automated notebook generation and visualization for RNA-seq data
- Plotly Dashboards — Data dashboards from Plotly in genomics, machine learning, and finance.
Differential Expression
- iDEP: Integrated Differential Expression and Pathway analysis for RNA-seq
- DEApp: Web-based differential expression analysis with edgeR and DESeq2
- BioJupies: Differential expression and notebook generation from RNA-seq
eQTL and QTL Tools
- LocusFocus: Colocalization visualization of GWAS and eQTL data
- FastQTL Viewer: eQTL result visualization interface
CNV and Structural Variant Tools
- ShinyCNV: Interactive exploration of CNV data (basic Shiny app example)
Variant Annotation and Pathogenicity
- Varsome: Comprehensive variant interpretation platform
Coming Soon to This Site
We’re launching a unified platform that brings together a wide range of interactive Shiny apps for genomic data analysis, quality control, preprocessing, and visualisation.
Rather than isolated tools, each app will be part of a connected platform—designed to support specific tasks while working seamlessly alongside others. Whether you’re running a GWAS, differential expression analysis, inspecting copy number variants, exploring expression patterns, or preparing data for downstream use, the platform will guide you through each step in a structured, modular way.
All apps will run locally in your browser (or optionally on HPC systems), ensuring data privacy and speed, even with large genomic datasets. We do not store or access your data — any file you load can be cleared at any time.
This platform empowers researchers, clinicians and data scientists to explore and interpret genomic data through an integrated, user-friendly environment. It combines tools for variant interpretation, statistical analysis, and data visualisation into a single, connected system designed for clarity, reproducibility, and performance.
With this platform, you will be able to:
- Perform reproducible analyses without writing code
- Interactively explore and visualise results in real time
- Work securely and independently, with all data remaining on your machine.
These apps are being developed to meet the needs of researchers, clinicians, and data scientists alike, and will be released incrementally as they’re validated.
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