get_anno_categories {GOfuncR} | R Documentation

## Get all associated ontology categories for the input genes

### Description

Returns all associated GO-categories given a vector of gene-symbols, e.g. c('SPAG5', 'BTC').

### Usage

    get_anno_categories(genes,  database = 'Homo.sapiens', annotations = NULL,
        term_df = NULL, godir = NULL, silent = FALSE)

### Arguments

`genes` | a character() vector of gene-symbols, e.g. c('SPAG5', 'BTC').
`database` | optional character() defining an OrganismDb or OrgDb annotation package from Bioconductor, like 'Mus.musculus' (mouse) or 'org.Pt.eg.db' (chimp).
`annotations` | optional data.frame() with two character() columns: gene-symbols and GO-categories. Alternative to 'database'.
`term_df` | optional data.frame() with an ontology 'term' table. Alternative to the default integrated GO-graph or `godir`.
`godir` | optional character() specifying a directory that contains the ontology table 'term.txt'. Alternative to the default integrated GO-graph or `term_df`.
`silent` | logical. If TRUE all output to the screen except for warnings and errors is suppressed.

### Details

Besides the default 'Homo.sapiens', also other OrganismDb or OrgDb packages from Bioconductor, like 'Mus.musculus' (mouse) or 'org.Pt.eg.db' (chimp), can be used. It is also possible to directly provide a dataframe with annotations, which is then searched for the input genes and filtered for GO-categories that are present in the ontology.

By default the package's integrated ontology is used, but a custom ontology can be defined, too. For details on how to use a custom ontology with `term_df` or `godir` please refer to the package's vignette. The advantage of `term_df` over `godir` is that the latter reads the file 'term.txt' from disk and therefore takes longer.

### Value

a data.frame() with four columns: gene (character()), GO-ID (character(), GO-name (character() and GO-domain (character()).

### Note

This gives only direct annotations of genes to GO-categories. By definition genes are also indirectly annotated to all parent nodes of those categories. Use `get_parent_nodes` to get the higher level categories of the directly annotated GO-categories.
Also note that GO-categories which are not represented or obsolete in the internal GO-graph of GOfuncR or the custom ontology provided through `term_df` or `godir` are removed to be consistent with the annotations used in `go_enrich`.

### Author(s)

Steffi Grote

### References

[1] Ashburner, M. et al. (2000). Gene Ontology: tool for the unification of biology. Nature Genetics 25, 25-29.

### See Also

`get_anno_genes`
`get_parent_nodes`
`get_names`

### Examples

    ## get the GO-annotations for two random genes
    anno1 = get_anno_categories(c('BTC', 'SPAG5'))
    head(anno1)

[Package GOfuncR version 1.2.0 Index]