Leo is freely available at http://jp-tyo-ntt-1.natfrp.cloud:53273

Introduction

Leo is a web-based toolkit for Laboratory of Animal Proteomics in the department of Animal Science, National Chung Hsing University

Analysis items

• Descriptive statistics
• Normality tests
• Heteroscedasticity test
• Mulitiple comparasion
• Non-parametric tests
• Gene ID conversion
• GO classification
• GO over-representation (enrichment) analysis
• KEGG over-representation analysis

Requirement

• linux (dev os is Ubuntu 20.04)
• R

Installation

Source code

Running setup.R to install all dependencies.

git clone https://github.com/hunglin59638/leo.git
cd leo
Rscript setup.R
Rscript run.R [port_num] # default is 6523

Docker (Recommended)

docker pull hunglin59638/leo:latest
docker run -d -p 6523:6523 hunglin59638/leo:latest