1.Application Introduction:

App Name: KEGG Enrichplot without 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

Gene Ontology (GO) term enrichment is a technique for interpreting sets of genes making use of the Gene Ontology system of classification, in which genes are assigned to a set of predefined bins depending on their functional characteristics. For example, the gene FasR is categorized as being a receptor, involved in apoptosis and located on the plasma membrane.

The function of similar genes in different species is often conservative. Obviously, a unified term is needed to describe the functions of these cross species homologous genes and their gene products. Otherwise, different laboratories have different descriptions of the functions of the same genes, which will greatly limit academic exchanges. The purpose of Gene Ontology (go) project is to make the functional description of gene products consistent in various databases.

The so-called go is a standard glossary term for biological function annotation, which divides the function of gene into three parts Molecular functions (MF) performed by genes, Cellular component (CC) of the gene, Genes and biological processes (BP) involved.