I am trying to map mouse ENSEMBL ids to human gene symbols. However I am getting error

Error in names(destIDs) <- dnames : attempt to set an attribute on NULL

Here is my code:

library(org.Hs.eg.db)
library(org.Mm.eg.db)
library(hom.Hs.inp.db)
library(hom.Mm.inp.db)

v <- c('ENSMUSG00000059552', 'ENSMUSG00000020122') # ids for P53 and EGFR

inpIDMapper(v, "MUSMU", "HOMSA", srcIDType="ENSEMBL")
# Error in names(destIDs) <- dnames : attempt to set an attribute on NULL

sessionInfo( )
R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Linux Mint 20.2

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0

locale:
 [1] LC_CTYPE=en_CA.UTF-8      
 [2] LC_NUMERIC=C              
 [3] LC_TIME=en_CA.UTF-8       
 [4] LC_COLLATE=en_CA.UTF-8    
 [5] LC_MONETARY=en_CA.UTF-8   
 [6] LC_MESSAGES=en_CA.UTF-8   
 [7] LC_PAPER=en_CA.UTF-8      
 [8] LC_NAME=C                 
 [9] LC_ADDRESS=C              
[10] LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_CA.UTF-8
[12] LC_IDENTIFICATION=C       

attached base packages:
[1] parallel  stats4    stats     graphics  grDevices
[6] utils     datasets  methods   base     

other attached packages:
[1] hom.Mm.inp.db_3.1.3  hom.Hs.inp.db_3.1.3 
[3] org.Mm.eg.db_3.12.0  org.Hs.eg.db_3.11.4 
[5] AnnotationDbi_1.52.0 IRanges_2.22.2      
[7] S4Vectors_0.26.1     Biobase_2.48.0      
[9] BiocGenerics_0.34.0 

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.7          DBI_1.1.1          
 [3] RSQLite_2.2.7       cachem_1.0.5       
 [5] rlang_0.4.11        blob_1.2.1         
 [7] vctrs_0.3.8         tools_4.0.3        
 [9] bit64_4.0.5         bit_4.0.4          
[11] fastmap_1.1.0       compiler_4.0.3     
[13] pkgconfig_2.0.3     BiocManager_1.30.16
[15] memoise_2.0.0

Hey cosomol999,

You could try biomaRt, if you wished (you can try biomaRt, if you wish):

require(biomaRt)
listDatasets(useMart('ensembl'))

human <- useMart('ensembl', dataset = 'hsapiens_gene_ensembl')
mouse <- useMart('ensembl', dataset = 'mmusculus_gene_ensembl')

getLDS(
  mart = mouse,
  attributes = c('mgi_symbol','ensembl_gene_id','gene_biotype'),
  martL = human,
  attributesL = c('hgnc_symbol','ensembl_gene_id','gene_biotype'),
  filters = 'ensembl_gene_id',
  values = c('ENSMUSG00000059552', 'ENSMUSG00000020122'))

  MGI.symbol     Gene.stable.ID      Gene.type HGNC.symbol Gene.stable.ID.1
1      Trp53 ENSMUSG00000059552 protein_coding        TP53  ENSG00000141510
2       Egfr ENSMUSG00000020122 protein_coding        EGFR  ENSG00000146648
     Gene.type.1
1 protein_coding
2 protein_coding

Somebody else may have a solution via the packages that you had originally selected.

Kevin