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.
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 ¹target_genesymbol,
#> # ²target_entrez, ³source_type, ⁴target_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>