Description Details Methods Author(s) See Also Examples
These methods add identification data to a raw MS experiment (an
"MSnExp"
object) or to quantitative data (an
"MSnSet"
object). The identification data needs
to be available as a mzIdentML
file (and passed as filenames,
or directly as identification object) or, alternatively, can be passed
as an arbitrary data.frame
. See details in the Methods
section.
The featureData
slots in a "MSnExp"
or a
"MSnSet"
instance provides only one row per MS2
spectrum but the identification is not always bijective. Prior to
addition, the identification data is filtered as documented in the
filterIdentificationDataFrame
function: (1) only PSMs
matching the regular (non-decoy) database are retained; (2) PSMs of
rank greater than 1 are discarded; and (3) only proteotypic peptides
are kept.
If after filtering, more then one PSM per spectrum are still present,
these are combined (reduced, see
reduce,data.frame-method
) into a single row and
separated by a semi-colon. This has as side-effect that feature
variables that are being reduced are converted to characters. See the
reduce
manual page for examples.
See also the section about identification data in the MSnbase-demo vignette for details and additional examples.
After addition of the identification data, new feature variables are
created. The column nprot
contains the number of members in the
protein group; the columns accession
and description
contain a semicolon separated list of all matches. The columns
npsm.prot
and npep.prot
represent the number of PSMs and
peptides that were matched to a particular protein group. The column
npsm.pep
indicates how many PSMs were attributed to a peptide
(as defined by its sequence pepseq
). All these values are
re-calculated after filtering and reduction.
signature(object = "MSnExp", id = "character", ...
Adds the identification data stored in mzIdentML files to a
"MSnExp"
instance. The method handles one or
multiple mzIdentML files provided via id
. id
has to
be a character
vector of valid filenames. See below for
additional arguments.
signature(object = "MSnExp", id = "mzID", ...)
Same
as above but id
is a mzID
object generated by
mzID::mzID
. See below for additional arguments.
signature(object = "MSnExp", id = "mzIDCollection",
...)
Same as above but id
is a mzIDCollection
object. See below for additional arguments.
signature(object = "MSnExp", id = "mzRident", ...
Same as above but id
is a mzRident
object generated
by mzR::openIdfile
. See below for additional arguments.
signature(object = "MSnExp", id = "data.frame", ...
Same as above but id
could be a data.frame
. See
below for additional arguments.
signature(object = "MSnSet", id = "character", ...)
Adds the identification data stored in mzIdentML files to an
"MSnSet"
instance. The method handles one or
multiple mzIdentML files provided via id
. id
has to
be a character
vector of valid filenames. See below for
additional arguments.
signature(object = "MSnSet", id = "mzID", ...)
Same
as above but id
is a mzID
object. See below for
additional arguments.
signature(object = "MSnSet", id = "mzIDCollection",
...)
Same as above but id
is a mzIDCollection
object. See below for additional arguments.
signature(object = "MSnSet", id = "data.frame", ...)
Same as above but id
is a data.frame
. See below for
additional arguments.
The methods above take the following additional argument. These need
to be set when adding identification data as a data.frame
. In
all other cases, the defaults are set automatically.
The matching between the features (raw spectra or quantiative
features) and identification results is done by matching columns
in the featue data (the featureData
slot) and the
identification data. These values are the spectrum file index and
the acquisition number, passed as a character
of length
2. The default values for these variables in the object
's
feature data are "spectrum.file"
and
"acquisition.num"
. Values need to be provided when
id
is a data.frame
.
The default values for the spectrum file and acquisition numbers
in the identification data (the id
argument) are
"spectrumFile"
and "acquisitionNum"
. Values need to
be provided when id
is a data.frame
.
The protein (group) accession number or identifier. Defaults are
"DatabaseAccess"
when passing filenames or mzRident
objects and "accession"
when passing mzID
or
mzIDCollection
objects. A value needs to be provided when
id
is a data.frame
.
The protein (group) description. Defaults are
"DatabaseDescription"
when passing filenames or
mzRident
objects and "description"
when passing
mzID
or mzIDCollection
objects. A value needs to be
provided when id
is a data.frame
.
The peptide sequence variable name. Defaults are "sequence"
when passing filenames or mzRident
objects and
"pepseq"
when passing mzID
or mzIDCollection
objects. A value needs to be provided when id
is a
data.frame
.
The key to be used when the identification data need to be reduced
(see details section). Defaults are "spectrumID"
when
passing filenames or mzRident
objects and
"spectrumid"
when passing mzID
or
mzIDCollection
objects. A value needs to be provided when
id
is a data.frame
.
The feature variable used to define whether the PSM was matched in
the decoy of regular fasta database for PSM filtering. Defaults
are "isDecoy"
when passing filenames or mzRident
objects and "isdecoy"
when passing mzID
or
mzIDCollection
objects. A value needs to be provided when
id
is a data.frame
. See
filterIdentificationDataFrame
for details.
The feature variable used to defined the rank of the PSM for
filtering. Defaults is "rank"
. A value needs to be provided
when id
is a data.frame
. See
filterIdentificationDataFrame
for details.
The feature variable used to defined the protein (groupo)
accession or identifier for PSM filterin. Defaults is to use the
same value as acc
. A value needs to be provided when
id
is a data.frame
. See
filterIdentificationDataFrame
for details.
A logical
defining whether to print out
messages or not. Default is to use the session-wide open from
isMSnbaseVerbose
.
Sebastian Gibb <mail@sebastiangibb.de> and Laurent Gatto
filterIdentificationDataFrame
for the function that
filters identification data, readMzIdData
to read the
identification data as a unfiltered data.frame
and
reduce,data.frame-method
to reduce it to a
data.frame
that contains only unique PSMs per row.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ## find path to a mzXML file
quantFile <- dir(system.file(package = "MSnbase", dir = "extdata"),
full.name = TRUE, pattern = "mzXML$")
## find path to a mzIdentML file
identFile <- dir(system.file(package = "MSnbase", dir = "extdata"),
full.name = TRUE, pattern = "dummyiTRAQ.mzid")
## create basic MSnExp
msexp <- readMSData(quantFile)
## add identification information
msexp <- addIdentificationData(msexp, identFile)
## access featureData
fData(msexp)
idSummary(msexp)
|
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grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,
rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which.max, which.min
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
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'citation("Biobase")', and for packages 'citation("pkgname")'.
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Loading required package: ProtGenerics
Attaching package: ‘ProtGenerics’
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spectrum acquisition.number sequence chargeState rank
F1.S1 1 1 VESITARHGEVLQLRPK 3 1
F1.S2 2 2 IDGQWVTHQWLKK 3 1
F1.S3 3 3 <NA> NA NA
F1.S4 4 4 <NA> NA NA
F1.S5 5 5 LVILLFR 2 1
passThreshold experimentalMassToCharge calculatedMassToCharge peptideRef
F1.S1 TRUE 645.3741 645.0375 Pep2
F1.S2 TRUE 546.9586 546.9633 Pep1
F1.S3 NA NA NA <NA>
F1.S4 NA NA NA <NA>
F1.S5 TRUE 437.8040 437.2997 Pep4
modNum isDecoy post pre start end DatabaseAccess DBseqLength DatabaseSeq
F1.S1 0 FALSE A R 170 186 ECA0984 231
F1.S2 0 FALSE A K 50 62 ECA1028 275
F1.S3 NA NA <NA> <NA> NA NA <NA> NA <NA>
F1.S4 NA NA <NA> <NA> NA NA <NA> NA <NA>
F1.S5 0 FALSE L K 22 28 ECA0510 166
DatabaseDescription
F1.S1 ECA0984 DNA mismatch repair protein
F1.S2 ECA1028 2,3,4,5-tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase
F1.S3 <NA>
F1.S4 <NA>
F1.S5 ECA0510 putative capsular polysacharide biosynthesis transferase
scan.number.s. idFile MS.GF.RawScore MS.GF.DeNovoScore
F1.S1 1 dummyiTRAQ.mzid -39 77
F1.S2 2 dummyiTRAQ.mzid -30 39
F1.S3 NA <NA> NA NA
F1.S4 NA <NA> NA NA
F1.S5 5 dummyiTRAQ.mzid -42 5
MS.GF.SpecEValue MS.GF.EValue modPeptideRef modName modMass modLocation
F1.S1 5.527468e-05 79.36958 <NA> <NA> NA NA
F1.S2 9.399048e-06 13.46615 <NA> <NA> NA NA
F1.S3 NA NA <NA> <NA> NA NA
F1.S4 NA NA <NA> <NA> NA NA
F1.S5 2.577830e-04 366.38422 <NA> <NA> NA NA
subOriginalResidue subReplacementResidue subLocation nprot npep.prot
F1.S1 <NA> <NA> NA 1 1
F1.S2 <NA> <NA> NA 1 1
F1.S3 <NA> <NA> NA NA NA
F1.S4 <NA> <NA> NA NA NA
F1.S5 <NA> <NA> NA 1 1
npsm.prot npsm.pep
F1.S1 1 1
F1.S2 1 1
F1.S3 NA NA
F1.S4 NA NA
F1.S5 1 1
spectrumFile idFile coverage
1 dummyiTRAQ.mzXML dummyiTRAQ.mzid 0.6
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