PAGER Web APP

An interactive, online gene set and network interpretation tool of high-throughput functional genomics results

---

Online tool available at: http://aimed-lab.shinyapps.io/PAGERwebapp/

Zongliang Yue, Radomir Slominski, Samuel Bharti, and Jake Chen*

contact: jakechen@uab.edu

How to cite us

PAGER web app: Interactive, online gene set and network interpretation of high-throughput functional genomics results. Frontiers in Genetics (under review)

---

Developement Details

R version used: 3.6.3

---

Steps to run on your local server.

1. Download the source code.
2. Open in R studio.
3. Install packages mentioned in global.R
4. Click on Run.

---

If you need any technical support, please email Zongliang Yue, zongyue@uab.edu.

Our lab: AI.MED Laboratory, University of Alabama at Birmingham, Alabama, USA. Link: http://bio.informatics.uab.edu/