Reads as set of XML-based mass-spectrometry data files and generates an MSnExp object. This function uses the functionality provided by the mzR
package to access data and meta data in mzData
, mzXML
and mzML
.
readMSData(
files,
pdata = NULL,
msLevel. = NULL,
verbose = isMSnbaseVerbose(),
centroided. = NA,
smoothed. = NA,
cache. = 1L,
mode = c("inMemory", "onDisk")
)
Arguments
A character
with file names to be read and parsed.
An object of class AnnotatedDataFrame or NULL
(default).
MS level spectra to be read. In inMemory
mode, use 1
for MS1 spectra or any larger numeric for MSn spectra. Default is 2
for InMemory
mode. onDisk
mode supports multiple levels and will, by default, read all the data.
Verbosity flag. Default is to use isMSnbaseVerbose()
.
A logical
, indicating whether spectra are centroided or not. Default is NA
in which case the information is extracted from the raw file (for mzML or mzXML files). In onDisk
, it can also be set for different MS levels by a vector of logicals, where the first element is for MS1, the second element is for MS2, ... See OnDiskMSnExp for an example.
A logical
indicating whether spectra already smoothed or not. Default is NA
.
Numeric indicating caching level. Default is 0 for MS1 and 1 MS2 (or higher). Only relevant for inMemory
mode.
On of "inMemory"
(default) or "onDisk"
. The former loads the raw data in memory, while the latter only generates the object and the raw data is accessed on disk when needed. See the benchmarking vignette for memory and speed implications.
When using the inMemory
mode, the whole MS data is read from file and kept in memory as Spectrum objects within the MSnExp'es assayData
slot.
To reduce the memory footpring especially for large MS1 data sets it is also possible to read only selected information from the MS files and fetch the actual spectrum data (i.e. the M/Z and intensity values) only on demand from the original data files. This can be achieved by setting mode = "onDisk"
. The function returns then an OnDiskMSnExp object instead of a MSnExp object.
readMSData
uses normalizePath
to replace relative with absolute file paths.
file <- dir(system.file(package = "MSnbase", dir = "extdata"),
full.name = TRUE,
pattern = "mzXML$")
mem <- readMSData(file, mode = "inMemory")
mem
#> MSn experiment data ("MSnExp")
#> Object size in memory: 0.18 Mb
#> - - - Spectra data - - -
#> MS level(s): 2
#> Number of spectra: 5
#> MSn retention times: 25:01 - 25:02 minutes
#> - - - Processing information - - -
#> Data loaded: Thu Apr 10 21:53:10 2025
#> MSnbase version: 2.33.5
#> - - - Meta data - - -
#> phenoData
#> rowNames: dummyiTRAQ.mzXML
#> varLabels: sampleNames
#> varMetadata: labelDescription
#> Loaded from:
#> dummyiTRAQ.mzXML
#> protocolData: none
#> featureData
#> featureNames: F1.S1 F1.S2 ... F1.S5 (5 total)
#> fvarLabels: spectrum
#> fvarMetadata: labelDescription
#> experimentData: use 'experimentData(object)'
dsk <- readMSData(file, mode = "onDisk")
dsk
#> MSn experiment data ("OnDiskMSnExp")
#> Object size in memory: 0.03 Mb
#> - - - Spectra data - - -
#> MS level(s): 2
#> Number of spectra: 5
#> MSn retention times: 25:01 - 25:02 minutes
#> - - - Processing information - - -
#> Data loaded [Thu Apr 10 21:53:11 2025]
#> MSnbase version: 2.33.5
#> - - - Meta data - - -
#> phenoData
#> rowNames: dummyiTRAQ.mzXML
#> varLabels: sampleNames
#> varMetadata: labelDescription
#> Loaded from:
#> dummyiTRAQ.mzXML
#> protocolData: none
#> featureData
#> featureNames: F1.S1 F1.S2 ... F1.S5 (5 total)
#> fvarLabels: fileIdx spIdx ... spectrum (36 total)
#> fvarMetadata: labelDescription
#> experimentData: use 'experimentData(object)'
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