# VST-DAVis: an R Shiny application and web-browser for spatial transcriptomics data analysis and visualization

## TL;DR

VST-DAVis is a user-friendly tool for analyzing and visualizing spatial transcriptomics data without requiring programming skills.

## Contribution

VST-DAVis integrates multiple R packages into a single interactive platform for spatial transcriptomics analysis.

## Key findings

- VST-DAVis supports quality control, clustering, and pathway analysis for spatial transcriptomics data.
- The tool enables comparative analysis across multiple samples and biological conditions.
- It provides high-quality visualizations and is accessible to researchers without coding experience.

## Abstract

Visium HD Spatial Transcriptomics Data Analysis and Visualization (VST-DAVis) is an interactive, R Shiny application and web browser designed for intuitive analysis of spatial transcriptomics data generated using the 10x Genomics Visium HD platform. This user-friendly tool empowers researchers, particularly those without programming expertise, to perform end-to-end spatial transcriptomics analysis through a streamlined graphical interface. The platform is capable of handling both single and multiple samples, enabling comparative analyses across diverse biological conditions or replicates. It accepts various input formats including both H5 and matrix-based files from Space Ranger and outputs high-quality graphics from various visualization tools. VST-DAVis integrates several widely used R packages, such as Seurat, Monocle3, CellChat, and hdWGCNA, to offer a robust and flexible analytical environment that supports a wide range of analytical tasks, including quality control, clustering, marker gene identification, subclustering, trajectory inference, pathway enrichment analysis, cell–cell communication modeling, co-expression analysis, and transcription factor network reconstruction. By combining its analytical depth with user-friendliness, VST-DAVis makes advanced analyses accessible to various research communities that utilize spatial transcriptomics data.

VST-DAVis is freely available at https://www.gudalab-rtools.net/VST-DAVis. It is implemented in R 4.5.2 and Bioconductor ≥ 3.22 using the Shiny framework and supports input from Space Ranger outputs. The source code and documentation are hosted on GitHub: https://github.com/GudaLab/VST-DAVis.