Development Information
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.