Last data update: 2014.03.03

R: Map between Manufacturer IDs and Gene Ontology (GO)
illuminaHumanv2BeadIDGOR Documentation

Map between Manufacturer IDs and Gene Ontology (GO)

Description

illuminaHumanv2BeadIDGO is an R object that provides mappings between manufacturer identifiers and the GO identifiers that they are directly associated with.

Details

Each Entrez Gene identifier is mapped to a list of lists. The names on the outer list are GO identifiers. Each inner list consists of three named elements: GOID, Ontology, and Evidence.

The GOID element matches the GO identifier named in the outer list and is included for convenience when processing the data using 'lapply'.

The Ontology element indicates which of the three Gene Ontology categories this identifier belongs to. The categories are biological process (BP), cellular component (CC), and molecular function (MF).

The Evidence element contains a code indicating what kind of evidence supports the association of the GO identifier to the Entrez Gene id. The evidence codes in use include:

IMP: inferred from mutant phenotype

IGI: inferred from genetic interaction

IPI: inferred from physical interaction

ISS: inferred from sequence similarity

IDA: inferred from direct assay

IEP: inferred from expression pattern

IEA: inferred from electronic annotation

TAS: traceable author statement

NAS: non-traceable author statement

ND: no biological data available

IC: inferred by curator

Mappings between probe identifiers and GO information were obtained through their mappings to Entrez Gene identifiers. NAs are assigned to probe identifiers that can not be mapped to any Gene Ontology information. Mappings between Gene Ontology identifiers an Gene Ontology terms and other information are available in a separate data package named GO.

Mappings were based on data provided by: Gene Ontology ftp://ftp.geneontology.org/pub/go/godatabase/archive/latest-lite/ With a date stamp from the source of: 20100904

Examples

        x <- illuminaHumanv2BeadIDGO
        # Get the probe identifiers that are mapped to a GO ID
        mapped_probes <- mappedkeys(x)
        # Convert to a list
        xx <- as.list(x[mapped_probes])
        if(length(xx) > 0) {
            # Try the firest one
            got <- xx[[1]]           
            got[[1]][["GOID"]]
            got[[1]][["Ontology"]]
            got[[1]][["Evidence"]]

        }

Results


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> library(illuminaHumanv2BeadID.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.Hs.eg.db


illuminaHumanv2BeadID.db is an older package, and the package
  contributor no longer supports it. Please be advised that this
  package is now out of date and should not occur in future
  bioconductor releases.  For a more current package containing the
  same kind of data, please use the appropriate illumina_XXX_.db
  packages instead of the illumina_XXX_BeadID.db packages and make use
  of the new illumina_XXX_ARRAYADDRESS mapping to convert between
  BeadIDs and Illumina IDs.

*_XXX_ here refers to the species and version for this platform

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/illuminaHumanv2BeadID.db/illuminaHumanv2BeadIDGO.Rd_%03d_medium.png", width=480, height=480)
> ### Name: illuminaHumanv2BeadIDGO
> ### Title: Map between Manufacturer IDs and Gene Ontology (GO)
> ### Aliases: illuminaHumanv2BeadIDGO
> ### Keywords: datasets
> 
> ### ** Examples
> 
>         x <- illuminaHumanv2BeadIDGO
>         # Get the probe identifiers that are mapped to a GO ID
>         mapped_probes <- mappedkeys(x)
>         # Convert to a list
>         xx <- as.list(x[mapped_probes])
>         if(length(xx) > 0) {
+             # Try the firest one
+             got <- xx[[1]]           
+             got[[1]][["GOID"]]
+             got[[1]][["Ontology"]]
+             got[[1]][["Evidence"]]
+ 
+         }
[1] "IEA"
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>