Metabolomic network edge list generation
#devtools::install_github("dgrapov/metabomapr")
library(metabomapr)
library(dplyr)
main<-test_data()
head(main)
## id KEGG CID name
## 1 N1 C15973 [] Enzyme N6-(dihydrolipoyl)lysine
## 2 N2 C00026 51 2-Oxoglutarate
## 3 N3 C05381 440649 3-Carboxy-1-hydroxypropyl-ThPP
## 4 N4 C15972 [] Enzyme N6-(lipoyl)lysine
## 5 N5 C00091 439161 Succinyl-CoA
## 6 N6 C00042 1110 Succinate
type<-'CID'
id<-main[,type]
cid_el<-CID_tanimoto(id,as='edge.list')
head(cid_el)
## source target value
## 16 51 440649 0.158469945355191
## 31 51 439161 0.171122994652406
## 32 440649 439161 0.646788990825688
## 46 51 1110 0.702702702702703
## 47 440649 1110 0.146892655367232
## 48 439161 1110 0.147540983606557
type<-'KEGG'
id<-main[,type]
kegg_el<-get_KEGG_edgeList(id)
head(kegg_el)
## source target
## 1 C15972 C15973
## 2 C15973 C16254
## 3 C15973 C16255
## 4 C00026 C00091
## 5 C00026 C00311
## 6 C00026 C05381
type<-'CID'
cid_el<- cid_el %>%
convert_edgeIndex(.,start=type,end='id',db=main) %>%
data.frame(.,cid_el %>% select(-source,-target),type=type)
type<-'KEGG'
kegg_el<- kegg_el %>%
convert_edgeIndex(.,start=type,end='id',db=main) %>%
data.frame(.,kegg_el %>% select(-source,-target),value=1,type=type)
#combined edge list
el<-rbind(kegg_el,cid_el)
head(el)
## source target value type
## 1 N4 N1 1 KEGG
## 2 N1 N16 1 KEGG
## 3 N1 N18 1 KEGG
## 4 N2 N5 1 KEGG
## 5 N2 N8 1 KEGG
## 6 N2 N3 1 KEGG
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.