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# Analysis of molecule formula with regex
# The strings imported from MoleculeFile containing information on the number
# of atoms per element are analyzed using regular expressions. The regular
# expression Characters extracts all characters, the regular expression
# Numbers extracts all numbers. TracerElement looks for the tracer element
# identifier.
ParseMoleculeInformation <- function(MoleculeInformation, ElementInfo, UltraHighRes, verbose) {
Characters <- "([A-Za-z]*)"
Numbers <- "([0-9]+[0-9]|[0-9])"
TracerElement <- "(Lab)"
MoleculeFormulaRegex <- "(|Lab)[A-Z][a-z]?[1-9][0-9]*"
if (is.na(MoleculeInformation[1,3])) {
NumberFragments <- 1
} else {
NumberFragments <- 2
}
# collect features for each individual fragment
tmpFragmentList <- list()
# FragmentList contains one or two tmpFragmentList()s
FragmentList <- list()
# The following is done for each Molecule and each fragment
# of a given molecule
for (Fragment in seq_len(NumberFragments)) {
# For each molecule(-fragment), the string containing the element count
# information is split into the individual elements using a regex
Elements <- stringr::str_extract_all(MoleculeInformation[1,Fragment + 1], MoleculeFormulaRegex)[[1]]
# Now each element in Elements, consisting of the element ID and the
# element count, is again separated into ID and element count using
# the regular expressions constructed above.
# Additionally, a check is made to identify the
# tracer element information ('Lab').
ElementCount.vec <- vector()
Element.vec <- vector()
TracerCount.vec <- vector()
Tracer.vec <- vector()
NumberElementsandTracer <- length(Elements)
for (Element in seq_len(NumberElementsandTracer)) {
# TRUE => current Element is Tracer // FALSE => current Element is no Tracer
if (Elements[Element] %>% stringr::str_detect(TracerElement)) {
TracerCount.vec <- c(TracerCount.vec, Elements[Element] %>% stringr::str_replace(TracerElement, "") %>% stringr::str_extract(Numbers) %>%
as.numeric)
Tracer.vec <- c(Tracer.vec, Elements[Element] %>% stringr::str_replace(TracerElement, "") %>% stringr::str_extract(Characters))
} else {
ElementCount.vec <- c(ElementCount.vec, Elements[Element] %>% stringr::str_extract(Numbers) %>% as.numeric)
Element.vec <- c(Element.vec, Elements[Element] %>% stringr::str_extract(Characters))
} #else
} #Element
names(ElementCount.vec) <- Element.vec
names(TracerCount.vec) <- Tracer.vec
tmpFragmentList <- list(Element = ElementCount.vec, Tracer = TracerCount.vec)
NumberElements <- length(ElementCount.vec)
NumberTracers <- length(TracerCount.vec)
# 'NumberElements' - 'NumberTracers' gives the number of non-tracer elements NumberElementsNonTracer.
NumberElementsNonTracer <- NumberElements - NumberTracers
if (!UltraHighRes) {
# If a tracer is present in the molecule(-fragment) considered,
# the tracer parameters are extracted. 'MaxLabel' is the maximum amount
# of tracer isotope that is expected to be found in the
# molecule(-fragment) due to metabolism while 'nTracerMax' is
# the maximum amount of tracer element (labelled or
# unlabelled) in that same species. 'IDTracer' is the tracer elements ID.
if (NumberTracers > 0) {
MaxLabel <- max(TracerCount.vec)
IDTracer <- TracerCount.vec %>% which.max %>% names
# This part deals with the possibility of having a tracer element
# that shows isotopes with a negative mass shift.
# In this case IsoCombinationsMaster()
# has to calculate `PlacesToAssign` differently for the tracer.
if (sum(ElementInfo[[IDTracer]][["Isotopes"]][[1]][["MassShift"]] < 0) > 0) {
NegIsoTracer <- 1 # => TRUE
} else {
NegIsoTracer <- 2 # => FALSE
}
names(NegIsoTracer) <- IDTracer
tmp.which <- which(names(ElementCount.vec) %in% names(TracerCount.vec))
nTracerMax <- as.numeric(ElementCount.vec[tmp.which])
if (length(nTracerMax) == NumberTracers) {
names(nTracerMax) <- names(TracerCount.vec)
}
names(MaxLabel) <- IDTracer
tmpFragmentList[["MaxLabel"]] <- MaxLabel
tmpFragmentList[["IDTracer"]] <- IDTracer
tmpFragmentList[["nTracerMax"]] <- nTracerMax
tmpFragmentList[["NegIsoTracer"]] <- NegIsoTracer
} else {
tmpFragmentList[["MaxLabel"]] <- NA
tmpFragmentList[["IDTracer"]] <- NA
tmpFragmentList[["nTracerMax"]] <- NA
tmpFragmentList[["NegIsoTracer"]] <- NA
} #if(NumberTracers>0)
# In this section, the non-tracer element parameters are extracted in
# the same way as for the tracer element.
ElementsNonTracerList <- list()
if (NumberElementsNonTracer > 0) {
NonTracer <- 1
tmpElementNonTracer.vec <- vector()
tmpElementNonTracerCount.vec <- vector()
tmpElementZeroTracer.vec <- vector()
tmpElementZeroTracerCount.vec <- vector()
for (Element in seq_len(NumberElements)) {
# tracers exist
if (NumberTracers > 0) {
# current element is no tracer
if (names(ElementCount.vec)[Element] != IDTracer) {
tmpElementNonTracer.vec <- c(tmpElementNonTracer.vec, names(ElementCount.vec)[Element])
tmpElementNonTracerCount.vec <- c(tmpElementNonTracerCount.vec, as.numeric(ElementCount.vec[Element]))
}
} else {
tmpElementZeroTracer.vec <- c(tmpElementZeroTracer.vec, names(ElementCount.vec)[Element])
tmpElementZeroTracerCount.vec <- c(tmpElementZeroTracerCount.vec, as.numeric(ElementCount.vec[[Element]]))
} #NumberTracers
} #Element
names(tmpElementNonTracerCount.vec) <- tmpElementNonTracer.vec
names(tmpElementZeroTracerCount.vec) <- tmpElementZeroTracer.vec
tmpFragmentList[["NonTracer"]] <- tmpElementNonTracerCount.vec
tmpFragmentList[["ZeroTracer"]] <- tmpElementZeroTracerCount.vec
} else {
# NumberElementsNonTracer>0
tmpFragmentList[["NonTracer"]] <- c()
tmpFragmentList[["ZeroTracer"]] <- c()
}
} else if (UltraHighRes)
{
if (NumberTracers > 0) {
# For multiple tracer correction, the gathering of tracer parameters
# has to loop through the number of tracers present in a
# given molecule (-fragment).
MaxLabel.vec <- vector()
IDTracer.vec <- vector()
nTracerMax.vec <- vector()
for (TracerNo in seq_len(NumberTracers)) {
MaxLabel <- as.numeric(TracerCount.vec[TracerNo])
IDTracer <- names(TracerCount.vec)[TracerNo]
MaxLabel.vec <- c(MaxLabel.vec, MaxLabel)
IDTracer.vec <- c(IDTracer.vec, IDTracer)
for (Element in seq_len(NumberElements)) {
# if current element is a tracer
if (names(tmpFragmentList[["Element"]][Element]) == IDTracer)
{
nTracerMax <- tmpFragmentList[["Element"]][Element] %>% as.numeric
nTracerMax.vec <- c(nTracerMax.vec, nTracerMax)
} #if
} #Element
} #TracerNo
names(MaxLabel.vec) <- IDTracer.vec
if (length(nTracerMax.vec) == NumberTracers) {
names(nTracerMax.vec) <- IDTracer.vec
}
tmpFragmentList[["MaxLabel"]] <- MaxLabel.vec
tmpFragmentList[["IDTracer"]] <- IDTracer.vec
tmpFragmentList[["nTracerMax"]] <- nTracerMax.vec
# Gaining natural abundance information associated with the
# tracer isotopes for probability calculations
# Number of isotopes per Element
NumberIso <- unlist(lapply(ElementInfo, function(x) nrow(data.frame(x[["Isotopes"]]))))
### store information for each individual Tracer Element
NatAbuTracerList <- list()
NatAbuBaseList <- list()
MassShiftTracerList <- list()
MassShiftTracer.vec <- vector()
for (TracerNo in names(TracerCount.vec)) {
MassShiftTracer <- ElementInfo[[TracerNo]][[2]]
# for each Tracer isotope
NatAbuTracer.vec <- vector()
NatAbuBase.vec <- vector()
for (IsotopeNo in seq_len(NumberIso[TracerNo])) {
if (data.frame(ElementInfo[[TracerNo]][[1]])[IsotopeNo, 2] == MassShiftTracer) {
NatAbuTracer.vec <- c(NatAbuTracer.vec, data.frame(ElementInfo[[TracerNo]][[1]])[IsotopeNo, 1]) # 1=>IsotopeAbundance
} else if (data.frame(ElementInfo[[TracerNo]][[1]])[IsotopeNo, 2] == 0) {
NatAbuBase.vec <- c(NatAbuBase.vec, data.frame(ElementInfo[[TracerNo]][[1]])[IsotopeNo, 1])
} else {
if(verbose){message(date(), " :: skipping IsotopeNo ", IsotopeNo, " for Tracer ", TracerNo)}
}
} #IsotopeNo
NatAbuTracerList[[TracerNo]] <- NatAbuTracer.vec
NatAbuBaseList[[TracerNo]] <- NatAbuBase.vec
MassShiftTracerList[[TracerNo]] <- MassShiftTracer
} #TracerNo
tmpFragmentList[["NatAbuTracer"]] <- unlist(NatAbuTracerList)
tmpFragmentList[["NatAbuBase"]] <- unlist(NatAbuBaseList)
tmpFragmentList[["MassShiftTracer"]] <- unlist(MassShiftTracerList)
} else {
if(verbose){message(date(), " :: NO TRACER FOR MOLECULE ", MoleculeInformation[1,1], " AND FRAGMENT #", Fragment)}
} #NumberTracers>0
} #if(UltraHighRes==1)
FragmentList[[Fragment]] <- tmpFragmentList
} # Fragment
names(FragmentList) <- stringr::str_c("Fragment_", rep(seq_len(NumberFragments)))
return(FragmentList)
}
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