pivot_annotations | R Documentation |
Use this method to reconstitute the annotation tables into the format of
the original resources. With the 'wide=TRUE' option
annotations
applies this function to the
downloaded data.
pivot_annotations(annotations)
annotations |
A data frame of annotations downloaded from the
OmniPath web service by |
A wide format data frame (tibble) if the provided data contains annotations from one resource, otherwise a list of wide format tibbles.
annotations
# single resource: the result is a data frame
disgenet <- annotations(resources = "DisGeNet")
disgenet <- pivot_annotations(disgenet)
disgenet
# # A tibble: 126,588 × 11
# uniprot genesymbol entity_type disease type score dsi dpi
# <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
# 1 P04217 A1BG protein Schizophren. dise. 0.3 0.7 0.538
# 2 P04217 A1BG protein Hepatomegaly phen. 0.3 0.7 0.538
# 3 P01023 A2M protein Fibrosis, L. dise. 0.3 0.529 0.769
# 4 P01023 A2M protein Acute kidne. dise. 0.3 0.529 0.769
# 5 P01023 A2M protein Mental Depr. dise. 0.3 0.529 0.769
# # . with 126,583 more rows, and 3 more variables: nof_pmids <dbl>,
# # nof_snps <dbl>, source <chr>
# multiple resources: the result is a list
annot_long <- annotations(
resources = c("DisGeNet", "SignaLink_function", "DGIdb", "kinase.com")
)
annot_wide <- pivot_annotations(annot_long)
names(annot_wide)
# [1] "DGIdb" "DisGeNet" "kinase.com"
# [4] "SignaLink_function"
annot_wide$kinase.com
# # A tibble: 825 x 6
# uniprot genesymbol entity_type group family subfamily
# <chr> <chr> <chr> <chr> <chr> <chr>
# 1 P31749 AKT1 protein AGC Akt NA
# 2 P31751 AKT2 protein AGC Akt NA
# 3 Q9Y243 AKT3 protein AGC Akt NA
# 4 O14578 CIT protein AGC DMPK CRIK
# 5 Q09013 DMPK protein AGC DMPK GEK
# # . with 815 more rows
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.