| fooddb2msfinder {RAMClustR} | R Documentation |
foodb2msfinder
Description
convenience function for converting FoodDB database export format to MSFinder custom database import format. Before running this, please have downloaded .csv files from FoodDB with the appropriate Display Field Headers (see details)
Usage
fooddb2msfinder(
foodb.files = NULL,
out.dir = NULL,
out.name = "FoodDB_for_MSFinder.txt"
)
Arguments
foodb.files |
default = NULL, if path is set, will read automatically. If NULL, direcory selection by user. |
out.dir |
default = NULL. Can set to exiseting directory with full path name. If NULL, direcory selection by user. |
out.name |
default = "FoodDB_for_MSFinder.txt". |
Details
Input file(s) should be csv formatted, with required headers of 'Name', 'Smiles', 'Inchikey', 'Chemical formula', and 'Mono mass' - case sensitive. Output will be in tab delimited text format in directory of choice.
Value
Nothing is returned - output file written to directory set by 'out.dir' and name set by 'out.name'
Author(s)
Corey Broeckling
References
Broeckling CD, Afsar FA, Neumann S, Ben-Hur A, Prenni JE. RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data. Anal Chem. 2014 Jul 15;86(14):6812-7. doi: 10.1021/ac501530d. Epub 2014 Jun 26. PubMed PMID: 24927477.