Convert GENCODE IDs to Ensembl - Ranged SummarizedExperiment

Question

[r_mvl]

I have an expression set matrix with the rownames being what I think is a GENCODE ID in the format for example "ENSG00000000003.14" "ENSG00000000457.13" "ENSG00000000005.5" and so on.

I would like to convert these to gene_symbol but I am not sure of the best way to do so, especially because of the ".14" or ".13" which I believe is the version.

Should I first trim all IDs for what is after the dot and then use biomaRt to convert? if so, what is the most efficient way of doing it? Is there a better way to get to the gene_symbol?

Many thanks for you help

[2nelly]

you can try this database. It s super fast and accurate

https://biodbnet-abcc.ncifcrf.gov/db/db2db.php

Answer 1

[r_mvl]

Thanks! In the meantime I did this and seem to have worked. Although with larger sets I guess the sapply would be faster

df$ensembl_gene_id <- gsub('\\..+$', '', df$ensembl_gene_id)

library(biomaRt)
mart <- useDataset("hsapiens_gene_ensembl", useMart("ensembl"))
genes <- df$ensembl_gene_id
symbol <- getBM(filters = "ensembl_gene_id",
                attributes = c("ensembl_gene_id","hgnc_symbol"),
                values = genes, 
                mart = mart)
df <- merge(x = symbol, 
              y = df, 
              by.x="ensembl_gene_id",
              by.y="ensembl_gene_id")

[Devon Ryan]

Can't argue with a working solution :)

Answer 2

[Devon Ryan]

Yes, you will likely need to trim off the version before merging with data from biomart, which will lack those. I don't know if it's the "most efficient" method, but at least a convenient and "good enough" one is:

> foo = as.character(c("ENSG00000000003.14", "ENSG00000000457.13", "ENSG00000000005.5"))
> fixed_names = sapply(strsplit(foo, ".", fixed=T), function(x) x[1])

You can replace foo with the row.names() accessor.