Last active
August 29, 2015 14:26
-
-
Save robertness/de6639a871ef36ce1d1c to your computer and use it in GitHub Desktop.
Pull all phosphorylations edges from KEGG signaling pathways
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
require(KEGGgraph, quietly = TRUE) | |
require(dplyr, quietly = TRUE) | |
require(magrittr, quietly = TRUE) | |
# install.packages("devtools") | |
#devtools::install_github("robertness/lucy") | |
require(lucy) | |
maps <- c(mapk = "04010", pi3 = "04151", tcell = "04660", ras = "04014", rap1 = "04015", | |
erb = "04012", wnt = "04310", tgfb = "04350", hippo = "04390", vegf = "04370", | |
jakstat = "04630", nfkb = "04064", tnf = "04668", hif1 = "04066", foxo = "04068", | |
calcium = "04020", camp = "04024", cgmp = "04022", ampk = "04152", mtor = "04150") | |
vertex_master <- NULL | |
edge_master <- NULL | |
for(map in maps){ | |
g_nell <- tempfile() %T>% | |
{retrieveKGML(map, organism="hsa", destfile=., method="curl", quiet=TRUE)} %>% | |
parseKGML2Graph(expandGenes=FALSE) | |
vertex_list <- getKEGGnodeData(g_nell) %>% | |
{data.frame( | |
kegg = unlist(lapply(., function(item) item@name[1])), | |
label = unlist(lapply(., function(item) | |
strsplit(item@graphics@name, ",")[[1]][1])), stringsAsFactors = F)} | |
g_init <- igraph.from.graphNEL(g_nell) | |
V(g_init)$name <- vertex_list$kegg | |
vertex_list <- filter(vertex_list, !duplicated(kegg)) | |
edge_list <- getKEGGedgeData(g_nell) %>% | |
lapply(function(item){ | |
if(length(item@subtype) > 0){ | |
subtype_info <- item@subtype | |
# KEGG uses a hierarchy of term for describing terms | |
# for example, the first edge type is "activation", the second is "phosphorylation" | |
# where phosphorylation is a type of activation. The second term is more specific than | |
# the first, so when it is provided, use it in lieu of the first type. | |
if(length(subtype_info) > 1) { | |
return(subtype_info[[2]]@name) | |
} else { | |
return(subtype_info$subtype@name) | |
} | |
} | |
NA | |
}) %>% | |
unlist %>% | |
{cbind(get.edgelist(g_init), type = .)} %>% | |
data.frame %>% | |
filter(type == "phosphorylation") | |
edge_master <- rbind(edge_master, edge_list) | |
vertex_master <- rbind(vertex_master, vertex_list) | |
} | |
edge_master <- edge_master %>% | |
as.data.frame %>% | |
unique | |
vertex_master <- vertex_master %>% | |
unique %>% | |
filter(!duplicated(kegg)) | |
g <- graph.data.frame(edge_master, directed = TRUE, vertices = vertex_master) | |
V(g)$kid <- V(g)$name | |
V(g)$name <- V(g)$label | |
g <- g - V(g)[igraph::degree(g) == 0] |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment