MSnExp-class {MSnbase} | R Documentation

## The 'MSnExp' Class for MS Data And Meta-Data

### Description

The `MSnExp` class encapsulates data and meta-data for mass spectrometry experiments, as described in the `slots` section. Several data files (currently in `mzXML`) can be loaded together with the function `readMSData`.

This class extends the virtual `"pSet"` class.

In version 1.19.12, the `polarity` slot had been added to the `"Spectrum"` class (previously in `"Spectrum1"`). Hence, `"MSnExp"` objects created prior to this change will not be valid anymore, since all MS2 spectra will be missing the `polarity` slot. Object can be appropriately updated using the `updateObject` method.

The feature variables in the feature data slot will depend on the file. See also the documentation in the `mzR` package that parses the raw data files and produces these data.

### Objects from the Class

Objects can be created by calls of the form `new("MSnExp",...)`. However, it is preferred to use the `readMSData` function that will read raw mass spectrometry data to generate a valid `"MSnExp"` instance.

### Slots

`assayData`:

  Object of class `"environment"` containing the MS spectra (see `"Spectrum1"` and `"Spectrum2"`). Slot is inherited from `"pSet"`.

`phenoData`:

  Object of class `"AnnotatedDataFrame"` containing experimenter-supplied variables describing sample (i.e the individual tags for an labelled MS experiment) See `phenoData` for more details. Slot is inherited from `"pSet"`.

`featureData`:

  Object of class `"AnnotatedDataFrame"` containing variables describing features (spectra in our case), e.g. identificaiton data, peptide sequence, identification score,... (inherited from `"eSet"`). See `featureData` for more details. Slot is inherited from `"pSet"`.

`experimentData`:

  Object of class `"MIAPE"`, containing details of experimental methods. See `experimentData` for more details. Slot is inherited from `"pSet"`.

`protocolData`:

  Object of class `"AnnotatedDataFrame"` containing equipment-generated variables (inherited from `"eSet"`). See `protocolData` for more details. Slot is inherited from `"pSet"`.

`processingData`:

  Object of class `"MSnProcess"` that records all processing. Slot is inherited from `"pSet"`.

`.__classVersion__`:

  Object of class `"Versions"` describing the versions of R, the Biobase package, `"pSet"` and `MSnExp` of the current instance. Slot is inherited from `"pSet"`. Intended for developer use and debugging (inherited from `"eSet"`).

### Extends

Class `"pSet"`, directly. Class `"VersionedBiobase"`, by class "pSet", distance 2. Class `"Versioned"`, by class "pSet", distance 3.

### Methods

See the `"pSet"` class for documentation on accessors inherited from `pSet`, subsetting and general attribute accession.

bin

  `signature(object = "MSnExp")`: Bins spectra. See `bin` documentation for more details and examples.

clean

  `signature(object = "MSnExp")`: Removes unused 0 intensity data points. See `clean` documentation for more details and examples.

compareSpectra

  `signature(object1 = "Spectrum", object2 = "missing")`: Compares spectra. See `compareSpectra` documentation for more details and examples.

extractPrecSpectra

  `signature(object = "MSnExp", prec = "numeric")`: extracts spectra with precursor MZ value equal to `prec` and returns an object of class 'MSnExp'. See `extractPrecSpectra` documentation for more details and examples.

pickPeaks

  `signature(object = "MSnExp")`: Performs the peak picking to generate centroided spectra. Parameter `msLevel.` allows to restrict peak picking to spectra of certain MS level(s). See `pickPeaks` documentation for more details and examples.

estimateNoise

  `signature(object = "MSnExp")`: Estimates the noise in all profile spectra of `object`. See `estimateNoise` documentation for more details and examples.

plot

  `signature(x = "MSnExp", y = "missing")`: Plots the `MSnExp` instance. See `plot.MSnExp` documentation for more details.

plot2d

  `signature(object = "MSnExp", ...)`: Plots retention time against precursor MZ for `MSnExp` instances. See `plot2d` documentation for more details.

plotDensity

  `signature(object = "MSnExp", ...)`: Plots the density of parameters of interest. instances. See `plotDensity` documentation for more details.

plotMzDelta

  `signature(object = "MSnExp", ...)`: Plots a histogram of the m/z difference betwee all of the highest peaks of all MS2 spectra of an experiment. See `plotMzDelta` documentation for more details.

quantify

  `signature(object = "MSnExp")`: Performs quantification for all the MS2 spectra of the `MSnExp` instance. See `quantify` documentation for more details. Also for `OnDiskMSnExp` objects.

removePeaks

  `signature(object = "MSnExp")`: Removes peaks lower that a threshold `t`. See `removePeaks` documentation for more details and examples.

removeReporters

  `signature(object = "MSnExp", ...)`: Removes reporter ion peaks from all MS2 spectra of an experiment. See `removeReporters` documentation for more details and examples.

smooth

  `signature(x = "MSnExp")`: Smooths spectra. See `smooth` documentation for more details and examples.

addIdentificationData

  `signature(object = "MSnExp", ...)`: Adds identification data to an experiment. See `addIdentificationData` documentation for more details and examples.

removeNoId

  `signature(object = "MSnExp", fcol = "pepseq", keep = NULL)`: Removes non-identified features. See `removeNoId` documentation for more details and examples.

removeMultipleAssignment

  `signature(object = "MSnExp", fcol = "nprot")`: Removes protein groups (or feature belong to protein groups) with more than one member. The latter is defined by extracting a feature variable (default is `"nprot"`). Also removes non-identified features.

idSummary

  `signature(object = "MSnExp", ...)`: Prints a summary that lists the percentage of identified features per file (called `coverage`).

show

  `signature(object = "MSnExp")`: Displays object content as text.

isolationWindow

  `signature(object = "MSnExp", ...)`: Returns the isolation window offsets for the MS2 spectra. See `isolationWindow` in the `mzR` package for details.

trimMz

  `signature(object = "MSnExp")`: Trims the MZ range of all the spectra of the `MSnExp` instance. See `trimMz` documentation for more details and examples.

`isCentroided(object, k = 0.025, qtl = 0.9, verbose = TRUE)`

  A heuristic assessing if the spectra in the `object` are in profile or centroided mode. The function takes the `qtl`th quantile top peaks, then calculates the difference between adjacent M/Z value and returns `TRUE` if the first quartile is greater than `k`. (See `MSnbase:::.isCentroided` for the code.) If `verbose` (default), a table indicating mode for all MS levels is printed.

  The function has been tuned to work for MS1 and MS2 spectra and data centroided using different peak picking algorithms, but false positives can occur. See https://github.com/lgatto/MSnbase/issues/131 for details. For whole experiments, where all MS1 and MS2 spectra are expected to be in the same, albeit possibly different modes, it is advised to assign the majority result for MS1 and MS2 spectra, rather than results for individual spectra. See an example below.

as

  `signature(object = "MSnExp", "data.frame")`: Coerces the `MSnExp` object to a four-column `data.frame` with columns `"file"` (file index in `object`), `"rt"` (retention time), `"mz"` (m/z values) and `"i"` (intensity values).

as

  `signature(object = "MSnExp", "MSpectra")`: Coerces the `MSnExp` object to a `MSpectra` object with all feature annotations added as metadata columns (`mcols`).

Filtering and subsetting functions:

filterRt

  `signature(object = "MSnExp", rt = "numeric", msLevel. = "numeric")`: Retains MS spectra of level `msLevel.` with a retention times within `rt[1]` and `rt[2]`.

filterMsLevel

  `signature(object = "MSnExp", msLevel. = "numeric")`: Retains MS spectra of level `msLevel.`.

filterPolarity

  `signature(object = "MSnExp", polarity. = "numeric")`: Retains MS spectra of polarity `polarity.`.

filterMz

  `signature(object = "MSnExp", mz = "numeric", msLevel. = "numeric")`. See `filterMz` for details.

filterFile

  `signature(object = "MSnExp", file)`: Retains MS data of files matching the file index or file name provided with parameter `file`.

filterAcquisitionNum
filterEmptySpectra

  `signature(object = "MSnExp")`: Remove empty spectra from `object` (see `isEmpty`).

filterPrecursorScan

  `signature(object = "MSnExp", acquisitionNum = "numeric")`: Retain parent (e.g. MS1) and children scans (e.g. MS2) of `acquisitionNum`. See `OnDiskMSnExp` for an example.

splitByFile

  `signature(object = "MSnExp", f = "factor")`: split a `MSnExp` object by file into a `list` of `MSnExp` objects given the grouping in `factor` `f`.

filterPrecursorMz

  `signature(object = "MSnExp", mz, ppm = 10)`: retain spectra with a precursor m/z equal or similar to the one defined with parameter `mz`. Parameter `ppm` allows to define an accepted difference between the provided m/z and the spectrum's m/z.

filterIsolationWindow

  `signature(object = "MSnExp", mz)`: retain spectra with isolation windows that contain (which m/z range contain) the specified m/z.

### Author(s)

Laurent Gatto <lg390@cam.ac.uk>

### References

Information about the mzXML format as well converters from vendor specific formats to mzXML: http://tools.proteomecenter.org/wiki/index.php?title=Formats:mzXML.

### See Also

`"pSet"` and `readMSData` for loading `mzXML`, `mzData` or `mzML` files to generate an instance of `MSnExp`.

The `"OnDiskMSnExp"` manual page contains further details and examples.

`chromatogram` to extract chromatographic data from a `MSnExp` or `OnDiskMSnExp` object.

`write` for the function to write the data to mzML or mzXML file(s).

### Examples

    mzxmlfile <- dir(system.file("extdata",package="MSnbase"),
                     pattern="mzXML",full.names=TRUE)
    msnexp <- readMSData(mzxmlfile)
    msnexp

[Package MSnbase version 2.15.7 Index]