% % NOTE -- ONLY EDIT THE .Rnw FILE!!! The .tex file is % likely to be overwritten. % % \VignetteIndexEntry{Processing Tandem-MS and MS$^n$ data with with xcms} % \VignetteKeywords{preprocess, analysis, tandemms} % \VignettePackage{xcms} \documentclass[12pt]{article} \usepackage{hyperref} \newcommand{\Robject}[1]{{\texttt{#1}}} \newcommand{\Rfunction}[1]{{\texttt{#1}}} \newcommand{\Rpackage}[1]{{\textit{#1}}} \newcommand{\Rclass}[1]{{\textit{#1}}} \newcommand{\Rmethod}[1]{{\textit{#1}}} \newcommand{\Rfunarg}[1]{{\textit{#1}}} \textwidth=6.2in \textheight=8.5in %\parskip=.3cm \oddsidemargin=.1in \evensidemargin=.1in \headheight=-.3in \begin{document} \title{Processing Tandem-MS and MS$^n$ data with with xcms} \author{S. Neumann, J. Kutzera} \maketitle \section*{Introduction} This document describes how to use \Rpackage{xcms} for processing of Tandem-MS and MS$^n$ data from e.g.\ triple-quad, QTOF, ion trap or orbitrap mass spectrometers. % <>= <>= library(xcms) library(msdata) @ \section{Raw Data File Preparation} The \Rpackage{xcms} package reads full-scan LC/MS data and associated Tandem-MS and MS$^n$ spectra from mzData files only. For the purposes of demonstration, we will use a some sample files included in this package. The (truncated) raw data files are contained in the \texttt{data} directory. To access the mzData files, we first locate the \textit{data} directory in the \Rpackage{xcms} package. %FileFilter -in HAM_004_641fE_pDDIT.mzData -rt 1190:1310 -int 100000: -mz 500:850 -out extracted.mzData <>= mzdatapath <- system.file("iontrap", package = "msdata") list.files(mzdatapath, recursive = TRUE) @ \section{Accessing, combining and Visualising MS$^n$ spectra} The MS$^n$ spectra are read into xcms just like plain LC-MS files. Inclusion of the additional scans has to be explicitely enabled. The xcmsRaw summary shows the additional content: <>= library(xcms) mzdatafiles <- list.files(mzdatapath, recursive = TRUE, full.names = TRUE) xraw <- xcmsRaw(mzdatafiles[1], includeMSn=TRUE) xraw @ There is also a new peak picker, which actually returns all parent ions as annotated in the mzData / mzXML files. A warning will be issued if this is not present, either because of a poor converter or if xraw is read from a CDF file: <>= peaks <- findPeaks(xraw, method="MS1") @ By giving larger windows, subsets of spectra can be returned, and these can be combined to obtain so called compound spectra containing e.g. MS$^2$ to MS$^5$. % <>= % #xnew <- getScan(xraw) % #xnew2 <- combineScans(xnew) % @ \section{xcmsFragments} A xcmsFragments-Object contains a Table with informations about all Peaks from MS1 to MSn of one Experiment, including mz-value, retensiontime, MSlevel, and parentpeak. The data can be used for visualization or (later) computing alignments between different Experiments. The object is created as empty and can be filled with collect(). This method requires a peaktable or a xcmsSet for the MS1peaks and the original xcmsRaw for the msn-Data. <>= xs <- xcmsSet(mzdatafiles, method="MS1") xfrag <- xcmsFragments(xs) xfrag @ plotTree prints out a simplyfied tree of the Peaks in the Object. The user can define borders for the retensionTime and for the MassRange, he can also print the tree for a single MS1-Peak. Finally, to visualise the fragmentation tree, a textual representation is available. Additionally, all specified scans can be passed to \Rpackage{Rgraphviz}. \begin{figure} \begin{minipage}[b]{0.49\linewidth} <>= plotTree(xfrag,xcmsFragmentPeakID=6, textOnly=TRUE) @ \end{minipage} \caption{\label{treeplot} The MS$^n$ fragmentation tree for the MS1 peak Nr. 6.} \end{figure} \end{document}