annotate: evaluate ramSearch, MSFinder mssearch, MSFinder Structure,...

View source: R/annotate.R

annotateR Documentation

evaluate ramSearch, MSFinder mssearch, MSFinder Structure, MSFinder Formula, and findmain output to annotate spectra of ramclustR object

Description

After running RAMSearch (msp) and MSFinder on .mat or .msp files, import the spectral search results

Usage

annotate(
  ramclustObj = NULL,
  standardize.names = FALSE,
  min.msms.score = 0.8,
  database.priority = NULL,
  database.priority.factor = 0.1,
  find.inchikey = TRUE,
  taxonomy.inchi = NULL,
  taxonomy.inchi.factor = 0.1,
  use.ri = TRUE,
  sri = 300,
  ri.na.factor = 0.6,
  reset = TRUE
)

Arguments

ramclustObj

R object - the ramclustR object which was used to write the .mat or .msp files

standardize.names

logical: if TRUE, use inchikey for standardized chemical name lookup (http://cts.fiehnlab.ucdavis.edu/)

min.msms.score

numerical: what is the minimum MSFinder similarity score acceptable. default = 6.5

database.priority

character. Formula assignment prioritization based on presence in one or more (structure) databases. Can be set to a single or multiple database names. must match database names as they are listed in MSFinder precisely. Can also be set to 'all' (note that MSFinder reports all databases matched, not just databases in MSFinder parameters). If any database is set, the best formula match to any of those databases is selected, rather than the best formula match overall. If NULL, this will be set to include all selected databases (from ramclustObj$msfinder.dbs, retrieved from search output during import.msfinder.formulas(), when available) or 'all'.

database.priority.factor

numeric, between 0 and 1. 0.1 by default. The proportion by which scores for structures not in priority database are assessed

find.inchikey

logical. default = TRUE. use chemical translation service to try to look up inchikey for chemical name.

taxonomy.inchi

vector or data frame. Only when rescore.structure = TRUE. user can supply a vector of inchikeys. If used, structures which match first block of inchikey retain full score, while all other structures are penalized.

taxonomy.inchi.factor

numeric, between 0 and 1. 0.1 by default. The proportion by which scores for structures not in taxonomy.inchi vector are assessed

use.ri

logical. default = TRUE. If retention index is available in ramclustObj (set by 'rc.calibrate.ri') and in library spectra from MSFinder, use RI similiarity to rescore.

sri

numeric. sigma value for retention index. controls decay rate of retention index curve. decay rate between 0 and 1 exported, and multiplied by spectrum score, totalscore.

ri.na.factor

numeric. between 0 and 1. 0.5 by default. how should spectrum scores be treated when no retention index is available? NA values are replaced by retention index similarities of ri.na.factor when use.ri = TRUE.

reset

logical. If TRUE, removes any previously assigned annotations.

Details

this function imports the output from the MSFinder program to annotate the ramclustR object

Value

an updated ramclustR object, with the at $msfinder.formula, $msfinder.formula.score, $ann, and $ann.conf slots updated to annotated based on output from 1. ramsearch output, 2. msfinder mssearch, 3. msfinder predicted structure, 4. msfinder predicted formula, and 5. interpretMSSpectrum inferred molecular weight, with listed order as priority.

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.

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.

http://cts.fiehnlab.ucdavis.edu/static/download/CTS2-MS2015.pdf


cbroeckl/csu.pmf.tools documentation built on May 21, 2024, 1:26 a.m.