I am trying to annotate the Ensemble ID in the Deseq2 results file and add a column of Gene symbols and gene names. I have tried to use Biomart and also AnnotationDb/org.Mm.eg.db.

This is the ouput

library(DESeq2)

# Loading required package: Rcpp
# Loading required package: RcppArmadillo

counts = read.delim("3mTA2.txt", header=T, row.names=1)
sample <- read.delim("~/sample.txt")
count.data.set <- DESeqDataSetFromMatrix(countData=counts, colData=sample,design= ~ genotype)
dds<-DESeq(count.data.set)
res <- results(dds)

library("AnnotationDbi")
library("org.Mm.eg.db")

columns (org.Mm.eg.db)
# [1] "ENTREZID"     "PFAM"         "IPI"          "PROSITE"      "ACCNUM"   
# [6] "ALIAS"        "CHR"          "CHRLOC"       "CHRLOCEND"    "ENZYME"   
# [11] "PATH"         "PMID"         "REFSEQ"       "SYMBOL"       "UNIGENE"  
# [16] "ENSEMBL"      "ENSEMBLPROT"  "ENSEMBLTRANS" "GENENAME"     "UNIPROT"  
# [21] "GO"           "EVIDENCE"     "ONTOLOGY"     "GOALL"        "EVIDENCEALL"
# [26] "ONTOLOGYALL"  "MGI"      

res$hgnc_symbol <- convertIDs(row.names(res), "ENSEMBL", "SYMBOL", org.Mm.eg.db)

# Error: could not find function "convertIDs"

convertIDs <- function( ids, from, to, db, ifMultiple=c("putNA", "useFirst")) {
  stopifnot( inherits( db, "AnnotationDb" ) )
  ifMultiple <- match.arg( ifMultiple )
  suppressWarnings( res <- AnnotationDbi::select(
    db, keys=ids, keytype=from, columns=c(from,to) ) )
  if ( ifMultiple == "putNA" ) {
    duplicatedIds <- res[ duplicated( selRes[,1] ), 1 ]
    res <- res[ ! res[,1] %in% duplicatedIds, ]

  }

  return(res[ match( ids, selRes[,1] ), 2 ] )}

res$hgnc_symbol <- convertIDs(row.names(res), "ENSEMBL", "SYMBOL", org.Mm.eg.db) Error in .testForValidKeys(x, keys, keytype) : None of the keys entered are valid keys for 'ENSEMBL'. Please use the keys method to see a listing of valid arguments. Called from: .testForValidKeys(x, keys, keytype)
#Browse[1]

library( "biomaRt" )

ensembl = useMart( "ensembl", dataset = "mmusculus_gene_ensembl" )
res$ensembl <- sapply( strsplit( rownames(res), split="nn+" ), "[", 1 )
genemap <- getBM( attributes = c("ensembl_gene_id", "entrezgene", "hgnc_symbol"), 
                  filters = "ensembl_gene_id",
                  values = res$ensembl
                  genemap <- getBM( attributes = c("ensembl_gene_id", "entrezgene", "hgnc_symbol"), 
                                    filters = "ensembl_gene_id",
                                    values = res$ensembl, 
                                    mart = ensembl )