## Not run:
#
# # the simplest way to retrieve all names of genomes stored within NCBI databases
# head(listGenomes() , 5)
#
# # show all details
# head(listGenomes(details = TRUE) , 5)
#
# # show all details only for Bacteria
# head(listGenomes(kingdom = "Bacteria", details = TRUE) , 5)
#
# # in case you are interested in the number of genomes available for each kingdom, run:
#
# ncbi_genomes <- listGenomes(details = TRUE)
# table(ncbi_genomes[ , "kingdoms"])
#
# # analogous, if you are interested in the number of genomes available for each group, run:
# ncbi_genomes <- listGenomes(details = TRUE)
# table(ncbi_genomes[ , "group"])
#
# # for subgroup
# table(ncbi_genomes[ , "subgroup"])
#
# # you can also limit your search to the refseq database
# head(listGenomes(database = "refseq") , 20)
#
# head(listGenomes(details=TRUE, database = "refseq") , 5)
#
# head(listGenomes(kingdom = "Eukaryota", details = TRUE,database = "refseq") , 5)
#
# # order by file size
# library(dplyr)
# head(arrange(ncbi_genomes, desc(file_size_MB)) , 5)
#
#
# # you can also update the organism table using the 'update' argument
# head(listGenomes(details = TRUE,update = TRUE) , 5)
#
# ## End(Not run)
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