Nothing
#R
# $HeadURL$
# $Id$
# $Date$
# this function is for normalizing the rt on data
# for building the model data.fit is used
#' An S4 class to represent a specL result
#'
#' @slot contains single elements or vectors
specL <- setClass("specL",
slots=c(group_id="character",
peptide_sequence="character",
proteinInformation="character",
q1="numeric",
q1.in_silico="numeric",
q3="numeric",
q3.in_silico="numeric",
#decoy="character",
# precursor charge
prec_z="numeric",
frg_type="character",
frg_nr="numeric",
# charge of fragment
frg_z="numeric",
relativeFragmentIntensity="numeric",
irt="numeric",
peptideModSeq="character",
mZ.error="numeric",
filename="character",
score="numeric")
)
#TODO include varMods also in the specL class
setMethod("show", "specL", function(object){
cat("An \"specL\" object.\n\n")
cat("\ncontent:\n")
lapply(slotNames(object), function(x){
v <- slot(object, x)
if (x == 'filename'){
cat (substr(v, nchar(v) - getOption("width") - 1, nchar(v)),fill=TRUE)
}else{
cat(x, '=', slot(object,x), '', fill=TRUE)}
}
)
cat("\nsize:\n")
memsize <- format(object.size(object), units = "b")
cat("Memory usage:", memsize, "\n")
})
setMethod(f="plot", signature="specL",
definition=function(x, y, ...){
q3<-slot(x, "q3")
relativeFragmentIntensity <- slot(x, "relativeFragmentIntensity")
#n<-nchar(as.character(unique(file)))
#filename.short <- substr(as.character(unique(x@filename)), n - 25, n)
plot(relativeFragmentIntensity ~ q3,
main=slot(x, "group_id"),
sub=paste(x@proteinInformation),
ylim=c(1,110),
col='#AAAAAAAA',
type='h',
...)
points(q3, relativeFragmentIntensity, pch=22)
text(q3, relativeFragmentIntensity,
paste(slot(x, "frg_type"), slot(x, "frg_nr"), sep="_" ),
col='red', pos=3)
text(q3, relativeFragmentIntensity,
paste("z", slot(x, "frg_z"), sep='='),
col='blue', pos=1)
legend("topleft",
c(paste("q1", round(slot(x,"q1"),2)),
paste("irt", round(slot(x,"irt"),2))
))
})
#TODO(cp):
#setMethod(f="derive_q3_mass_shift", signature="specL",
# definition=function(x,
# shift=list(AA=c('R', 'K'), deltamass=c(-10.008269, -8.014199)), ...){
#
# # S4 copy constructor?
# y <- x
#
# for (i in 1:length(shift$AA)){
#
# lastAA <- tail(strsplit(x@peptide_sequence, '')[[1]], n=1)
#
# if (lastAA == shift$AA[i]){
#
# y@q3[x@frg_type == 'y'] <- x@q3[x@frg_type == 'y'] + shift$deltamass[i]
#
# break
#
# }
## }
#
# return (y)
#}
#)
setMethod(f="write.spectronaut", signature="specL",
definition=function(x, file="specL.txt",protIDSeparator=";", ...){
data=cbind(group_id=x@group_id,
peptide_sequence=x@peptide_sequence,
q1=x@q1,
q3=x@q3,
q3.in_silico=x@q3.in_silico,
#decoy=x@decoy,
prec_z=x@prec_z,
frg_type=x@frg_type,
frg_nr=x@frg_nr,
frg_z=x@frg_z,
relativeFragmentIntensity=x@relativeFragmentIntensity,
irt_or_rt=x@irt,
peptideModSeq=x@peptideModSeq,
mZ.error=x@mZ.error,
proteinInformation = paste(x@proteinInformation,collapse=protIDSeparator),
filename=x@filename,
score = x@score
)
if (file.exists(file) == FALSE){
message(paste("writting specL object (including header) to file '", file, "' ...", sep=''))
write.table(data, file=file, row.names = FALSE,
col.names = TRUE, quote = FALSE, sep = "\t", append=FALSE)
}else{
write.table(data, file=file, row.names = FALSE,
col.names = FALSE, quote = FALSE, sep = "\t", append=TRUE)
}
}
)
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