GO KEGG GSEA-ClusterProfiler

library(clusterProfiler)

setwd("D:/Desktop/")

a=read.table("universeGeneIDs.txt",header = F,sep = "\t")

gene=as.character(a[,1])

ego<-enrichGO(gene = gene,'org.Hs.eg.db',ont = 'BP',pvalueCutoff = 0.01,readable = T)

write.table(ego,"go.txt",sep = "\t",quote = F,row.names = F)

barplot(ego,showCategory = 15,title = "EnrichmentGO")

dotplot(ego,title="EnrichmentGO_dot")

library(ggThemeAssist)

p<-dotplot(ego,title="EnrichmentGO_dot")

ggThemeAssistGadget(p)

ekk<-enrichKEGG(gene = gene,organism = "hsa",pAdjustMethod = "BH",pvalueCutoff = 0.01)

write.table(ekk,"kegg.txt",sep = "\t",quote = F,row.names = F)

barplot(ekk,showCategory = 15,title = "EnrichmentKEGG")

dotplot(ekk,title="EnrichmentKEGG_dot")

此外，还能做GSEA富集

gmtfile<- system.file("extdata", "c5.cc.v5.0.entrez.gmt", package="clusterProfiler")#选择GSEA数据库用的，http://software.broadinstitute.org/gsea/msigdb/collections.jsp，前面俩行大概就是来选择GSEA的数据库用的，c5.cc.v5.0.entrez.gmt这里他事例用的是GO的cc数据库，这个可以调整的，参考GSEA的网站来选择

egmt <- enricher(gene, TERM2GENE=c5)

write.table(egmt,"egmt.txt",sep = "\t",quote = F)