Last data update: 2014.03.03

R: Map between Manufacturer IDs and Genes
illuminaMousev2GENENAMER Documentation

Map between Manufacturer IDs and Genes

Description

illuminaMousev2GENENAME is an R object that maps manufacturer identifiers to the corresponding gene name.

Details

Each manufacturer identifier maps to a named vector containing the gene name. The vector name corresponds to the manufacturer identifier. If the gene name is unknown, the vector will contain an NA.

Gene names currently include both the official (validated by a nomenclature committee) and preferred names (interim selected for display) for genes. Efforts are being made to differentiate the two by adding a name to the vector.

Mappings were based on data provided by: Entrez Gene ftp://ftp.ncbi.nlm.nih.gov/gene/DATA With a date stamp from the source of: 2015-Mar17

Examples

        x <- illuminaMousev2GENENAME
        # Get the probe identifiers that are mapped to a gene name
        mapped_probes <- mappedkeys(x)
        # Convert to a list
        xx <- as.list(x[mapped_probes])
        if(length(xx) > 0) {
          # Get the GENENAME for the first five probes
          xx[1:5]
          # Get the first one
          xx[[1]]
        }

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(illuminaMousev2.db)
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit

Loading required package: Biobase
Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: IRanges
Loading required package: S4Vectors

Attaching package: 'S4Vectors'

The following objects are masked from 'package:base':

    colMeans, colSums, expand.grid, rowMeans, rowSums

Loading required package: org.Mm.eg.db


> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/illuminaMousev2.db/illuminaMousev2GENENAME.Rd_%03d_medium.png", width=480, height=480)
> ### Name: illuminaMousev2GENENAME
> ### Title: Map between Manufacturer IDs and Genes
> ### Aliases: illuminaMousev2GENENAME
> ### Keywords: datasets
> 
> ### ** Examples
> 
>         x <- illuminaMousev2GENENAME
>         # Get the probe identifiers that are mapped to a gene name
>         mapped_probes <- mappedkeys(x)
>         # Convert to a list
>         xx <- as.list(x[mapped_probes])
>         if(length(xx) > 0) {
+           # Get the GENENAME for the first five probes
+           xx[1:5]
+           # Get the first one
+           xx[[1]]
+         }
[1] "bestrophin 1"
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>