makeGOGraph | R Documentation |
The directed acyclic graph (DAG) based on finding the most specific terms for the supplied Entrez Gene IDs is constructed and returned. The constructuion is per GO ontology (there are three, MF, BP and CC) and once the most specific terms have been identified then all less specific terms are found (these are the parents of the terms) and then their parents and so on, until the root is encountered.
makeGOGraph(x, Ontology = "MF", removeRoot = TRUE, mapfun = NULL,
chip = NULL)
x |
A vector of Entrez Gene IDs. |
Ontology |
Which GO ontology to use (CC, BP, or MF). |
removeRoot |
A logical value indicating whether the GO root node should be removed or not. |
mapfun |
A function taking a character vector of Entrez Gene IDs
as its only argument and returning a list of "GO lists" matching the
structure of the lists in the GO maps of annotation data packages.
The function should behave similarly to
|
chip |
The name of a DB-based annotation data package (the name
will end in ".db"). This package will be used to generate an Entrez
ID to GO ID mapping instead of |
For each supplied Entrez Gene identifier all the GO annotations (in the specified ontology) are found. The mapping is achieved in one of three ways:
If mapfun
is provided, it will be used to perform the
needed lookups. In this case, chip
will be ignored.
If chip
is provided and mapfun=NULL
, then the
needed lookups will be done based on the Entrez to GO mappings
encapsulated in the specified annotation data package. This is
the recommended usage.
If mapfun
and chip
are NULL
or missing,
then the function will attempt to load the GO package (the
environment-based package, distinct from GO.db). This package
contains a legacy environment mapping Entrez IDs to GO IDs. If
the GO package is not available, an error will be raised.
Omitting both mapfun
and chip
is not recommended as
it is not compatible with the DB-based annotation data packages.
The mappings are different for the different ontologies. Typically a GO indentifier is used only in one specific ontology.
The resulting structure is stored in a graph using the graph
package, again from Bioconductor.
An object that inherits from the graph
class. The particular
implementation is not specified.
R. Gentleman
The Gene Ontology Consortium
oneGOGraph
library("hgu95av2.db")
set.seed(321)
gN <- unique(sample(keys(hgu95av2.db, 'ENTREZID'), 4))
gg1 <- makeGOGraph(gN, "BP", chip="hgu95av2.db")
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