I have a huge list of gene names, and I'd like to map corresponding gene IDs to each name. I've tried using this R library: org.Hs.eg.db
, but it creates more IDs than names, making it hard to map the results together, especially if the list is long.
Example of an input file (7 gene names):
RPS6KB2
PSME4
PDE4DIP
APMAP
TNRC18
PPP1R26
NAA20
Ideal output would be (7 IDs):
6199
23198
9659
57136
84629
9858
51126
Current output (8 IDs !!):
6199
23198
9659
57136
27320 *undesired output ID*
84629
9858
51126
Any suggestions on how to solve this issue? or use other simple tools to do the required task (map gene IDs)?
This is the code I'm using:
library("org.Hs.eg.db") #load the library
input <- read.csv("myfile.csv",TRUE,",") #read input file
GeneCol = as.character(input$Gene.name) #access the column that has gene names in my file
output = unlist(mget(x = GeneCol, envir = org.Hs.egALIAS2EG, ifnotfound=NA)) #get IDs
write.csv(output, file = "GeneIDs.csv") #write the list of IDs to a CSV file
use mapIds()
on your org.Hs.eg.db package. But the reason you're seeing 8 ids is because the mapping between symbols is not 1:1. You'll need to decide on a strategy for dealing with such multiple maps. Also, ask questions about Bioconductor packages on the Bioconductor support site https://support.bioconductor.org .
Here's a complete example (note how I do not need your file 'myfile.csv' to run this, so it is easy to reproduce)
library(org.Hs.eg.db)
symbol <- c(
"RPS6KB2", "PSME4", "PDE4DIP", "APMAP", "TNRC18",
"PPP1R26", "NAA20"
)
mapIds(org.Hs.eg.db, symbol, "ENTREZID", "SYMBOL")
The output is
> mapIds(org.Hs.eg.db, symbol, "ENTREZID", "SYMBOL")
'select()' returned 1:1 mapping between keys and columns
RPS6KB2 PSME4 PDE4DIP APMAP TNRC18 PPP1R26 NAA20
"6199" "23198" "9659" "57136" "84629" "9858" "51126"