import.msfinder.mssearch | R Documentation |
After running MSFinder on .mat or .msp files, import the spectral search results
import.msfinder.mssearch(
ramclustObj = NULL,
mat.dir = NULL,
msp.dir = NULL,
dir.extension = ".mssearch"
)
ramclustObj |
R object - the ramclustR object which was used to write the .mat or .msp files |
mat.dir |
optional path to .mat directory |
msp.dir |
optional path to .msp directory |
dir.extension |
optional directory name code specifying subset of results to use. Useful if running MSFinder from the command line for both spectral searching and interpretation. |
this function imports the output from the MSFinder program to annotate the ramclustR object
an updated ramclustR object, with new slots at $msfinder.mssearch.details and $msfinder.mssearch.scores
Corey Broeckling
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.
Broeckling CD, Ganna A, Layer M, Brown K, Sutton B, Ingelsson E, Peers G, Prenni JE. Enabling Efficient and Confident Annotation of LC-MS Metabolomics Data through MS1 Spectrum and Time Prediction. Anal Chem. 2016 Sep 20;88(18):9226-34. doi: 10.1021/acs.analchem.6b02479. Epub 2016 Sep 8. PubMed PMID: 7560453.
Tsugawa H, Kind T, Nakabayashi R, Yukihira D, Tanaka W, Cajka T, Saito K, Fiehn O, Arita M. Hydrogen Rearrangement Rules: Computational MS/MS Fragmentation and Structure Elucidation Using MS-FINDER Software. Anal Chem. 2016 Aug 16;88(16):7946-58. doi: 10.1021/acs.analchem.6b00770. Epub 2016 Aug 4. PubMed PMID: 27419259.
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