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: 97,445 × 3
#>    source     label   value        
#>    <chr>      <chr>   <chr>        
#>  1 CellChatDB role    agonist      
#>  2 CellChatDB role    antagonist   
#>  3 CellChatDB role    co_A_receptor
#>  4 CellChatDB role    co_I_receptor
#>  5 CellChatDB role    ligand       
#>  6 CellChatDB role    receptor     
#>  7 CellChatDB pathway ACTIVIN      
#>  8 CellChatDB pathway ADGRE5       
#>  9 CellChatDB pathway ADIPONECTIN  
#> 10 CellChatDB pathway AGRN         
#> # ℹ 97,435 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