R: Annotation of GO Identifiers to their Cellular Component...
GOCCCHILDREN
R Documentation
Annotation of GO Identifiers to their Cellular Component Children
Description
This data set describes associations between GO molecular function (CC)
terms and their direct children CC terms, based on the directed acyclic
graph (DAG) defined by the Gene Ontology Consortium. The format is an R
object mapping the GO CC terms to all direct children terms, where a
direct child term is a more specific GO term that is immediately preceded
by the given GO term in the DAG.
Details
Each GO CC term is mapped to a vector of children GO CC terms.
Cellular component is defined as the subcellular structures,
locations, and macromolecular complexes; examples include nucleus,
telomere, and origin recognition complex as defined by Gene Ontology
Consortium.
Mappings were based on data provided: Gene Ontology
ftp://ftp.geneontology.org/pub/go/godatabase/archive/latest-lite/
With a date stamp from the source of: 20160305
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(GOCCCHILDREN)
# Remove GO IDs that do not have any children
xx <- xx[!is.na(xx)]
if(length(xx) > 0){
goids <- xx[[1]]
# Find out the GO terms for the first parent goid
GOID(GOTERM[[goids[1]]])
Term(GOTERM[[goids[1]]])
Synonym(GOTERM[[goids[1]]])
Secondary(GOTERM[[goids[1]]])
Definition(GOTERM[[goids[1]]])
Ontology(GOTERM[[goids[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.
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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/GOCCCHILDREN.Rd_%03d_medium.png", width=480, height=480)
> ### Name: GOCCCHILDREN
> ### Title: Annotation of GO Identifiers to their Cellular Component
> ### Children
> ### Aliases: GOCCCHILDREN
> ### 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(GOCCCHILDREN)
> # Remove GO IDs that do not have any children
> xx <- xx[!is.na(xx)]
> if(length(xx) > 0){
+ goids <- xx[[1]]
+ # Find out the GO terms for the first parent goid
+ GOID(GOTERM[[goids[1]]])
+ Term(GOTERM[[goids[1]]])
+ Synonym(GOTERM[[goids[1]]])
+ Secondary(GOTERM[[goids[1]]])
+ Definition(GOTERM[[goids[1]]])
+ Ontology(GOTERM[[goids[1]]])
+ }
[1] "CC"
>
>
>
>
>
> dev.off()
null device
1
>