View source: R/metabolomics_data_dictionary.R
get_and_validate_mdd | R Documentation |
This function fetches and validates the Metabolomics Data Dictionary from the Metabolomics Workbench. It provides options to remove duplicates.
get_and_validate_mdd(remove_duplications = FALSE, verbose = TRUE)
remove_duplications |
Logical; if |
verbose |
Logical; if |
This function downloads the entire RefMet database from the Metabolomics
Workbench using their REST API. The data is initially fetched in JSON format and
then converted to a data frame. The function checks for the presence of a 'name'
column in the data frame, renaming it to 'refmet_name' for consistency. It also
provides an option to remove duplicate entries based on the 'refmet_name' column.
If duplicates are found and remove_duplications
is FALSE
, the function will
list the duplicated IDs but will not remove them. This can be helpful for reviewing
the data quality and consistency.
Returns a data frame with the following columns:
refmet_name
Character; the name standarized refmet name
pubchem_cid
Character; the PubChem compound ID.
lm_id
Character; the LIPID MAPS ID.
inchi_key
Character; the International Chemical Identifier Key.
exactmass
Numeric; the exact mass of the metabolite.
formula
Character; the chemical formula of the metabolite.
super_class
Character; the superclass category of the metabolite.
main_class
Character; the main class category of the metabolite.
sub_class
Character; the subclass category of the metabolite.
hmdb_id
Character; the Human Metabolome Database ID.
kegg_id
Character; the Kyoto Encyclopedia of Genes and Genomes ID.
Each row of the data frame represents a unique metabolite entry from the Metabolomics Workbench Data Dictionary.
## Not run:
refmet <- get_and_validate_mdd(remove_duplications = TRUE, verbose = TRUE)
head(refmet)
## End(Not run)
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