1.Application Introduction:

App Name: KEGG Enrichplot with Ref-Genome Online Serve

Platform: Shinyapps Base on R 4.0.2

R Packages: base, ggplot2, enrichplot, clusterProfiler, org.Hs.eg.db, DT, shiny, shinyjs

Note: Cite: Please Cite R Packages above

2.Author Introduction:

Author: benben miao

Email: benben.miao@outlook.com

Github: https://github.com/benben-miao/

Omics: https://omics.netlify.com

Pro: Bioinformatics, AI

Program: Python, R, Java, Julia, Shell, HTML,CSS,Javascript, Ruby, Perl, C, C++, SQL, GO, Linux.etc

3.Using Application:

DevFor: Bioinformatics Analysis

KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances. KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.

1. Metabolism Global/overview Carbohydrate Energy Lipid Nucleotide Amino acid Other amino Glycan Cofactor/vitamin Terpenoid/PK Other secondary metabolite Xenobiotics Chemical structure 2. Genetic Information Processing 3. Environmental Information Processing 4. Cellular Processes 5. Organismal Systems 6. Human Diseases 7. Drug Development

Each pathway map is identified by the combination of 2-4 letter prefix code and 5 digit number (see KEGG Identifier). The prefix has the following meaning: map (manually drawn reference pathway) ko (reference pathway highlighting KOs)