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character
, peptide sequence. "Spectrum2"
or
"missing"
. numeric
tolerance between the theoretical and
measured MZ values (only available if object
is not missing
).method
used for for duplicated matches. Choose
"highest"
or "closest"
to select the peak with the highest
intensity respectively the closest MZ in the tolerance range. If
"all"
is given all possible matches in the tolerance range are
reported (only available if object
is not missing
).character
vector of target ions; possible values:
c("a", "b", "c", "x", "y", "z")
; default: type=c("b", "y")
. numeric
desired charge state; default z=1
. numeric
vector of used modifications. The
name must correspond to the one-letter-code of the modified amino acid and
the numeric
value must represent the mass that should be added to the
original amino accid mass, default:
Carbamidomethyl modifications=c(C=57.02146)
. Use Nterm
or
Cterm
as names for modifications that should be added to the amino
respectively carboxyl-terminus.list
, it has to have two named elments,
namely water
and ammonia
that contain a
character
vector which type of neutral loss should be calculated.
Currently neutral loss on the C terminal "Cterm"
, at the amino acids
c("D", "E", "S", "T")
for "water"
(shown with an _
)
and c("K", "N", "Q", "R")
for "ammonia"
(shown with an
*
) are supported.
There is a helper function defaultNeutralLoss
that returns the
correct list. It has two arguments disableWaterLoss
and
disableAmmoniaLoss
to remove single neutral loss options. See the
example section for use cases.logical
if TRUE
(default) the used
modifications are printed. signature(sequence = "character", object = "missing", ...)
sequence
.
Returns a data.frame
with the columns c("mz", "ion", "type",
"pos", "z", "seq")
.
signature(sequence = "character", object = "Spectrum2", ...)
sequence
and a "Spectrum2"
object
.
The ...
arguments are passed to the internal functions.
Currently tolerance
, method
and relative
are
supported.
You could change the tolerance
(default 25e-6
) and
decide whether this tolerance should be applied relative
(default relative = TRUE
) or absolute (relative = FALSE
)
to match the theoretical fragment MZ with the MZ of the spectrum.
In cases of multiple matches use method
to select the peak with
the highest intensity (method = "highest"
, default) respectively
closest MZ (method = "closes"
). If method = "all"
is set
all possible matches in the current tolerance range are reported.
Returns the same data.frame
as above but the mz
column
represents the matched MZ values of the spectrum. Additionally there
is a column error
that contains the difference between the observed
MZ (from the spectrum) to the theoretical fragment MZ.
## find path to a mzXML file
file <- dir(system.file(package = "MSnbase", dir = "extdata"),
full.name = TRUE, pattern = "mzXML$")
## create basic MSnExp
msexp <- readMSData(file)
## centroid them
msexp <- pickPeaks(msexp)
## calculate fragments for ACE with default modification
calculateFragments("ACE", modifications=c(C=57.02146))
## calculate fragments for ACE with an addition N-terminal modification
calculateFragments("ACE", modifications=c(C=57.02146, Nterm=229.1629))
## calculate fragments for ACE without any modifications
calculateFragments("ACE", modifications=NULL)
calculateFragments("VESITARHGEVLQLRPK",
type=c("a", "b", "c", "x", "y", "z"),
z=1:2)
calculateFragments("VESITARHGEVLQLRPK", msexp[[1]])
## neutral loss
defaultNeutralLoss()
## disable water loss on the C terminal
defaultNeutralLoss(disableWaterLoss="Cterm")
## real example
calculateFragments("PQR")
calculateFragments("PQR",
neutralLoss=defaultNeutralLoss(disableWaterLoss="Cterm"))
calculateFragments("PQR",
neutralLoss=defaultNeutralLoss(disableAmmoniaLoss="Q"))
## disable neutral loss completely
calculateFragments("PQR", neutralLoss=NULL)
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