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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_genes…¹ targe…² effect sourc…³ targe…⁴
#>    <chr>             <chr>         <chr>          <chr>    <dbl> <chr>   <chr>  
#>  1 USF1              7391          S100A6         6277        NA protein protein
#>  2 USF1              7391          DUSP1          1843        NA protein protein
#>  3 USF1              7391          C4A            720         NA protein protein
#>  4 USF1              7391          ABCA1          19          NA protein protein
#>  5 TP53              7157          TP73           7161         1 protein protein
#>  6 TP53              7157          SIAH1          6477         1 protein protein
#>  7 TP53              7157          PMAIP1         5366         1 protein protein
#>  8 TP53              7157          EI24           9538         1 protein protein
#>  9 TP53              7157          CDKN1A         1026         1 protein protein
#> 10 TP53              7157          CCNG1          900          1 protein protein
#> # … with 372,768 more rows, and abbreviated variable names ¹​target_genesymbol,
#> #   ²​target_entrez, ³​source_type, ⁴​target_type
# # 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>