Annotation of GO Identifiers to their Biological Process Ancestors

Description

This data set describes associations between GO Biological Process (BP) terms and their ancestor BP terms, based on the directed acyclic graph (DAG) defined by the Gene Ontology Consortium. The format is an R object mapping the GO BP terms to all ancestor terms, where an ancestor term is a more general GO term that precedes the given GO term in the DAG (in other words, the parents, and all their parents, etc.).

Details

Each GO BP term is mapped to a vector of ancestor GO BP terms.

Biological process is defined as the broad biological goals, such as mitosis or purine metabolism, that are accomplished by ordered assemblies of molecular functions as defined by Gene Ontology Consortium.

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: 20160305

References

http://www.geneontology.org/ and http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene

See Also

• AnnotationDb-class for use of the select() interface.

Examples

## select() interface:
## Objects in this package can be accessed using the select() interface
## from the AnnotationDbi package. See ?select for details.

## Bimap interface:
# Convert the object to a list
xx <- as.list(GOBPANCESTOR)
# Remove GO IDs that do not have any ancestor
xx <- xx[!is.na(xx)]
if(length(xx) > 0){
  # Get the ancestor GO IDs for the first two elents of xx
  goids <- xx[1:2]
}

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(GO.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


> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/GO.db/GOBPANCESTOR.Rd_%03d_medium.png", width=480, height=480)
> ### Name: GOBPANCESTOR
> ### Title: Annotation of GO Identifiers to their Biological Process
> ###   Ancestors
> ### Aliases: GOBPANCESTOR
> ### Keywords: datasets
> 
> ### ** Examples
> 
> ## select() interface:
> ## Objects in this package can be accessed using the select() interface
> ## from the AnnotationDbi package. See ?select for details.
> 
> ## Bimap interface:
> # Convert the object to a list
> xx <- as.list(GOBPANCESTOR)
> # Remove GO IDs that do not have any ancestor
> xx <- xx[!is.na(xx)]
> if(length(xx) > 0){
+   # Get the ancestor GO IDs for the first two elents of xx
+   goids <- xx[1:2]
+ }
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>