Skip to content

TuTandOvO/SCSAID

Repository files navigation

scSAID Logo

scSAID

Single-Cell Skin & Appendages Integrated Database

Live Site

Deploy Status Cells Samples Species


Unifying the world's single-cell skin transcriptomics data in one place.

Overview

scSAID is a comprehensive web platform for exploring single-cell RNA sequencing (scRNA-seq) data from skin and appendage tissues. We aggregate, harmonize, and visualize data from over 1,000,000 cells across 600+ samples, spanning both human and mouse species in healthy and disease conditions.

Whether you're investigating keratinocyte differentiation, immune cell infiltration in psoriasis, or hair follicle stem cell dynamics — scSAID gives you the tools to explore it all.


Features

Feature Description
Browse Explore datasets with advanced filtering, sorting, and pagination
Gene Search Query expression patterns across cell types and conditions
Interactive Visualization Embedded UMAP plots with real-time cell type exploration
DEG Analysis Filter differentially expressed genes by p-value, fold change, and cell type
CellPhoneDB Visualize cell-cell communication networks and receptor interactions
Enrichment Analysis Gene set enrichment using MSigDB pathways
Gene Set Scoring Score cells using Reactome pathways with AUCell, GSVA, or mean expression
Data Export Download filtered results as Excel files

Tech Stack

┌─────────────────────────────────────────────────────────┐
│                      Frontend                           │
│   JSP  ·  CSS3  ·  JavaScript  ·  ECharts  ·  DataTables│
├─────────────────────────────────────────────────────────┤
│                      Backend                            │
│   Java Servlets  ·  Apache POI  ·  Python Dash          │
├─────────────────────────────────────────────────────────┤
│                   Infrastructure                        │
│   Maven  ·  Tomcat 9  ·  Nginx  ·  GitHub Actions       │
└─────────────────────────────────────────────────────────┘

Quick Start

# Clone the repository
git clone https://github.com/Dostoyevsky7/SkinDB_web.git
cd SkinDB_web

# Make Maven wrapper executable
chmod +x mvnw

# Run locally
./mvnw tomcat7:run

Open http://localhost:8080 in your browser.


Project Structure

src/main/
├── java/
│   ├── Servlet/          # HTTP request handlers
│   ├── Utils/            # Data processing utilities
│   └── Entity/           # Data models
├── webapp/
│   ├── CSS/              # Design system & component styles
│   ├── JS/               # Interactive charts & micro-interactions
│   ├── images/           # Static assets
│   ├── WEB-INF/          # Configuration & data files
│   └── *.jsp             # Page templates
└── resources/
    └── mapping.json      # Field mappings

Requirements

  • Java 11+
  • Maven 3.6+

Production Deployment

Dash App Integration

The enrichment and gene set scoring modules are embedded via iframes expecting same-origin paths:

  • /enrichment/ → Dash app on localhost:8051
  • /gene-scoring/ → Dash app on localhost:8052

Configure your nginx reverse proxy to forward these paths:

map $http_upgrade $connection_upgrade {
    default upgrade;
    ''      close;
}

location /enrichment/ {
    proxy_pass http://127.0.0.1:8051/enrichment/;
    proxy_http_version 1.1;
    proxy_set_header Host $host;
    proxy_set_header Upgrade $http_upgrade;
    proxy_set_header Connection $connection_upgrade;
}

location /gene-scoring/ {
    proxy_pass http://127.0.0.1:8052/gene-scoring/;
    proxy_http_version 1.1;
    proxy_set_header Host $host;
    proxy_set_header Upgrade $http_upgrade;
    proxy_set_header Connection $connection_upgrade;
}

Use a process manager (systemd, supervisor, pm2) to keep Dash apps running.


License

Zhejiang University · ZJE


Built with care for skin biology research

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors