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GO_data <- clusterProfiler:::get_GO_data("org.Hs.eg.db", "ALL", "SYMBOL")
names(GO_data)
# [1] "PATHID2NAME" "EXTID2PATHID" "GO2ONT" "PATHID2EXTID"
###(1)GO term的组成基因
class(GO_data$PATHID2EXTID)
#[1] "list"
GO_data$PATHID2EXTID[1]
# $`GO:0000002`
# [1] "PARP1" "SLC25A4" "DNA2" "TYMP" "LIG3" "MEF2A"
# [7] "MPV17" "OPA1" "TOP3A" "TP53" "LONP1" "AKT3"
# [13] "PPARGC1A" "POLG2" "SLC25A36" "PIF1" "SESN2" "SLC25A33"
# [19] "MGME1" "PRIMPOL" "STOX1"
###(2)基因所涉及的通路
class(GO_data$EXTID2PATHID)
#[1] "list"
GO_data$EXTID2PATHID[1]
# $A1BG
# [1] "GO:0001775" "GO:0002252" "GO:0002263" "GO:0002274" "GO:0002275" "GO:0002283" "GO:0002366"
# [8] "GO:0002376" "GO:0002443" "GO:0002444" "GO:0002446" "GO:0002576" "GO:0003674" "GO:0005575"
# ...
###(3)GO term的名字
class(GO_data$PATHID2NAME)
#[1] "character"
GO_data$PATHID2NAME[1]
# GO:0000001
# "mitochondrion inheritance"
###(4)GO term的类别
class(GO_data$GO2ONT)
#[1] "character"
GO_data$GO2ONT[1]
# GO:0000002
# "BP"
table(GO_data$GO2ONT)
# BP CC MF
# 16013 1981 4755
library(tidyverse)
go_name = reshape2::melt(GO_data$PATHID2NAME) %>%
rownames_to_column("ID") %>%
dplyr::rename("Name"="value")
go_type = reshape2::melt(GO_data$GO2ONT) %>%
rownames_to_column("ID") %>%
dplyr::rename("Type"="value")
go_info = inner_join(go_name, go_type) %>%
dplyr::mutate(GSEA=toupper(gsub(" ","_",paste0("GO",Type," ",Name))))
dim(go_info)
head(go_info)
table(rownames(brca_enrich_kegg) %in% go_info$GSEA)
# ID Name Type
# 1 GO:0000002 mitochondrial genome maintenance BP
# 2 GO:0000003 reproduction BP
# 3 GO:0000009 alpha-1,6-mannosyltransferase activity MF
# 4 GO:0000010 trans-hexaprenyltranstransferase activity MF
# 5 GO:0000012 single strand break repair BP
# 6 GO:0000014 single-stranded DNA endodeoxyribonuclease activity MF
# GSEA
# 1 GOBP_MITOCHONDRIAL_GENOME_MAINTENANCE
# 2 GOBP_REPRODUCTION
# 3 GOMF_ALPHA-1,6-MANNOSYLTRANSFERASE_ACTIVITY
# 4 GOMF_TRANS-HEXAPRENYLTRANSTRANSFERASE_ACTIVITY
# 5 GOBP_SINGLE_STRAND_BREAK_REPAIR
# 6 GOMF_SINGLE-STRANDED_DNA_ENDODEOXYRIBONUCLEASE_ACTIVITY
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