map id Annotation Hub

map_ids_annotationHub(
  x,
  ID_col = "UniprotID",
  species = c("Homo sapiens", "Mus musculus")
)

Arguments

x

data frame

ID_col

column with ID's

species

default "Homo sapiens"

See also

Other id_mapping: map_ids_2ways(), map_ids_uniprot(), mapthe()

Examples



library(tidyverse)
fc_estimates <- prora::exampleContrastData
if (FALSE) {
fc_estimates %>%
 filter(!(grepl("^REV_", protein_Id) | grepl("^zz", protein_Id) | grepl("^CON__", protein_Id)))
}
fc_estimates <- fc_estimates %>% filter(!(grepl("^REV_|^zz|^CON__", protein_Id)))
filtered_dd <- get_UniprotID_from_fasta_header(fc_estimates, idcolumn = "protein_Id")
dim(filtered_dd)
#> [1] 3700    3
tmp <- map_ids_annotationHub(filtered_dd, species = "Homo sapiens")
#> Warning: DEPRECATION: As of AnnotationHub (>2.23.2), default caching location has changed.
#>   Problematic cache: C:\Users\wolski\AppData\Local/AnnotationHub/AnnotationHub/Cache
#>   See https://bioconductor.org/packages/devel/bioc/vignettes/AnnotationHub/inst/doc/TroubleshootingTheCache.html#default-caching-location-update
#> snapshotDate(): 2021-05-18
#> loading from cache
#> 'select()' returned 1:many mapping between keys and columns
sum(is.na(tmp$P_ENTREZGENEID ))
#> [1] 20