psm | R Documentation |
The function computes a matching between a given peptide sequence and a given tandem mass spectrum (MS2).
psm
determines for each fragment ion mass peak the smallest mass error to a peak in the theretical spectrum from the peptide sequence.
If the mass error is below the given fragmentIonError
the match is considered a hit.
psm
returns a list of computed fragment ions and a vector of the mass error (Da and ppm).
psm
uses a generic ANSI-C
function to determines the nearest mass peak of array of double
values.
If the plot
is set to TRUE
an error plot is drawn.
The function psm
reqires the arguments sequence
and spec
. All other arguments are optional.
psm(sequence,
spec,
FUN=defaultIon,
plot=TRUE,
fi=fragmentIon(sequence, FUN=FUN)[[1]],
fragmentIonError)
sequence |
peptide sequence encoded as character sequence using the 20 amino acid letters. |
spec |
MS2 which is a R list having a sorted mZ vector and an intensity vector of the same size. |
FUN |
this function is passed to the |
plot |
boolean if the error plot function is to be called. |
fi |
fragment ion table, if not specified |
fragmentIonError |
fragment ion error cut-off. default is 0.6 Da. |
This function can be very useful to make assignements to spectra. Moreover it is used for validation or clairifying ambiguities between different sequences assigned to the same spectrum. Additinally it can be used to generate spectral libraries.
returns a psm match.
Christian Panse 2007, 2008, 2009, 2010, 2012, 2017
peakplot
and fragmentIon
spec <- list(scans=1138,
title="178: (rt=22.3807) [20080816_23_fetuin_160.RAW]",
rtinseconds=1342.8402,
charge=2,
mZ=c(195.139940, 221.211970, 239.251780, 290.221750,
316.300770, 333.300050, 352.258420, 448.384360, 466.348830,
496.207570, 509.565910, 538.458310, 547.253380, 556.173940,
560.358050, 569.122080, 594.435500, 689.536940, 707.624790,
803.509240, 804.528220, 822.528020, 891.631250, 909.544400,
916.631600, 973.702160, 990.594520, 999.430580, 1008.583600,
1017.692500, 1027.605900),
intensity=c(931.8, 322.5, 5045, 733.9, 588.8, 9186, 604.6,
1593, 531.8, 520.4, 976.4, 410.5, 2756, 2279, 5819, 2.679e+05,
1267, 1542, 979.2, 9577, 3283, 9441, 1520, 1310, 1.8e+04,
587.5, 2685, 671.7, 3734, 8266, 3309)
)
m <- psm('HTLNQIDSVK', spec,plot=TRUE)
hist(m$mZ.Da.error)
hist(m$mZ.ppm.error)
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