🚦 Interactive Dashboard: Kenyan Human Gut Virome

An interactive web-based dashboard developed using R Shiny to dynamically visualize viral clusters and taxonomy within the Kenyan human gut virome.

🔗 Live Demo: Access the Dashboard here

❇️ Dashboard Preview

Figure 1: The interactive landing page showing viral cluster distributions and regional data.

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✨ Key Features

• Taxonomic Classification: Visualize the distribution of classified vs. unclassified viral clusters.
• Regional Analysis: Explore data across different Kenyan regions (Kilifi, Kwale, Nairobi).
• Functional Insights: Observe viral clusters per sample by regions.
• Interactive Data Explorer: Filter and search through raw datasets directly in the UI.

🛠️ Tech Stack

• Language: R
• Framework: Shiny, Shinydashboard
• Visualizations: ggplot2 and plotly

🔁 How to Run Locally

To run this dashboard on your own machine:

1. Clone the repo:

   git clone [https://github.com/JimmySmilez/Interactive-Dashboard.git](https://github.com/JimmySmilez/Interactive-Dashboard.git)
   

2. Install Dependancies:

   install.packages(c("shiny", "shinydashboard", "plotly", "ggplot2", "dplyr", "readr"))

3. Launch the Dashboard:

   shiny::runApp('dashboard/')
   

📝Citation

Cite the KenyaViroCat Article:

Nthuku, S., Mordecai, J., Babajide, A. A., Makoko, D., Sawadogo, Y., & Awe, O. I. (2026). The Kenyan Human Gut Virome Catalogue reveals extensive viral diversity and age-dependent community structure. Scientific Reports. https://doi.org/10.1038/s41598-026-60183-9