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Downloads transcriptional and post-transcriptional regulatory interactions from the RegNetwork database (http://www.regnetworkweb.org/). The information about effect signs (stimulation or inhibition), provided by regnetwork_directions are included in the result.

Usage

regnetwork_download(organism = "human")

Arguments

organism

Character: either human or mouse.

Value

Data frame with interactions.

Examples

regn_interactions <- regnetwork_download()
regn_interactions
#> # A tibble: 372,778 × 7
#>    source_genesymbol source_entrez target_genesymbol target_entrez effect
#>    <chr>             <chr>         <chr>             <chr>          <dbl>
#>  1 USF1              7391          S100A6            6277              NA
#>  2 USF1              7391          DUSP1             1843              NA
#>  3 USF1              7391          C4A               720               NA
#>  4 USF1              7391          ABCA1             19                NA
#>  5 TP53              7157          TP73              7161               1
#>  6 TP53              7157          SIAH1             6477               1
#>  7 TP53              7157          PMAIP1            5366               1
#>  8 TP53              7157          EI24              9538               1
#>  9 TP53              7157          CDKN1A            1026               1
#> 10 TP53              7157          CCNG1             900                1
#> # ℹ 372,768 more rows
#> # ℹ 2 more variables: source_type <chr>, target_type <chr>
# # A tibble: 372,778 x 7
#    source_genesymb. source_entrez target_genesymb. target_entrez
#    <chr>            <chr>         <chr>            <chr>
#  1 USF1             7391          S100A6           6277
#  2 USF1             7391          DUSP1            1843
#  3 USF1             7391          C4A              720
#  4 USF1             7391          ABCA1            19
#  5 TP53             7157          TP73             7161
# # . with 372,768 more rows, and 3 more variables: effect <dbl>,
# #   source_type <chr>, target_type <chr>