Annotation categories and resources

A full list of annotation resources, keys and values.

Usage

annotation_categories()

Value

A data frame with resource names, annotation key labels and for each key all possible values.

Examples

annot_cat <- annotation_categories()
annot_cat
#> # A tibble: 52,677 × 3
#>    source       label        value                     
#>    <chr>        <chr>        <chr>                     
#>  1 HumanCellMap localization Arp2/3 protein complex    
#>  2 HumanCellMap localization ER lumen                  
#>  3 HumanCellMap localization ER membrane               
#>  4 HumanCellMap localization Golgi apparatus           
#>  5 HumanCellMap localization P-body enriched           
#>  6 HumanCellMap localization STRIPAK complex           
#>  7 HumanCellMap localization actin cytoskeleton        
#>  8 HumanCellMap localization anaphase-promoting complex
#>  9 HumanCellMap localization cell junction             
#> 10 HumanCellMap localization centrosome                
#> # … with 52,667 more rows
# # A tibble: 46,307 x 3
#    source           label    value
#    <chr>            <chr>    <chr>
#  1 connectomeDB2020 role     ligand
#  2 connectomeDB2020 role     receptor
#  3 connectomeDB2020 location ECM
#  4 connectomeDB2020 location plasma membrane
#  5 connectomeDB2020 location secreted
#  6 KEGG-PC          pathway  Alanine, aspartate and glutamate metabolism
#  7 KEGG-PC          pathway  Amino sugar and nucleotide sugar metabolism
#  8 KEGG-PC          pathway  Aminoacyl-tRNA biosynthesis
#  9 KEGG-PC          pathway  Arachidonic acid metabolism
# 10 KEGG-PC          pathway  Arginine and proline metabolism