dbparser (version 1.2.0)

cett_poly_pfms_doc: Carriers/ Enzymes/ Targets/ Transporters Polypeptide PFAMS parsers

Description

Extract descriptions of identified polypeptide PFAMS targets, enzymes, carriers, or transporters.

Usage

carriers_polypeptides_pfams(
  save_table = FALSE,
  save_csv = FALSE,
  csv_path = ".",
  override_csv = FALSE,
  database_connection = NULL
)

enzymes_polypeptides_pfams( save_table = FALSE, save_csv = FALSE, csv_path = ".", override_csv = FALSE, database_connection = NULL )

targets_polypeptides_pfams( save_table = FALSE, save_csv = FALSE, csv_path = ".", override_csv = FALSE, database_connection = NULL )

transporters_polypeptides_pfams( save_table = FALSE, save_csv = FALSE, csv_path = ".", override_csv = FALSE, database_connection = NULL )

Value

a tibble with 3 variables:

name

The sequence of the associated gene.

identifier

parent_key

polypeptide id

Arguments

save_table

boolean, save table in database if true.

save_csv

boolean, save csv version of parsed tibble if true

csv_path

location to save csv files into it, default is current location, save_csv must be true

override_csv

override existing csv, if any, in case it is true in the new parse operation

database_connection

DBI connection object that holds a connection to user defined database. If save_table is enabled without providing value for this function an error will be thrown.

read_drugbank_xml_db

read_drugbank_xml_db function must be called first before any parser.

If read_drugbank_xml_db is called before for any reason, so no need to call it again before calling this function.

See Also

Other cett: cett_actions_doc, cett_doc, cett_ex_identity_doc, cett_go_doc, cett_poly_doc, cett_poly_syn_doc

Examples

Run this code
if (FALSE) {
# the same parameters and usage will be applied for any parser
# return only the parsed tibble
run_all_parsers()

# will throw an error, as database_connection is NULL
run_all_parsers(save_table = TRUE)

# save in database in SQLite in memory database and return parsed tibble
sqlite_con <- DBI::dbConnect(RSQLite::SQLite())
run_all_parsers(save_table = TRUE, database_connection = sqlite_con)

# save parsed tibble as csv if it does not exist in current location,
# and return parsed tibble.
# if the csv exist before read it and return its data.
run_all_parsers(save_csv = TRUE)

# save in database, save parsed tibble as csv,
# if it does not exist in current location and return parsed tibble.
# if the csv exist before read it and return its data.
run_all_parsers(save_table = TRUE, save_csv = TRUE,
database_connection = sqlite_con)

# save parsed tibble as csv if it does not exist in given location,
# and return parsed tibble.
# if the csv exist before read it and return its data.
run_all_parsers(save_csv = TRUE, csv_path = TRUE)

# save parsed tibble as csv if it does not exist in current location and
# return parsed tibble.
# if the csv exist override it and return it.
run_all_parsers(save_csv = TRUE, csv_path = TRUE, override = TRUE)
}

Run the code above in your browser using DataCamp Workspace