#' Retrieve small molecule and matrix peak lists and make consensus peak lists
#'
#' @param pool pool
#' @param sampleIDs character vector of IDs (currently not used)
#' @param dendrogram protein dendrogram that was brushed
#' @param matrixIDs sampleID that will be used as a matrix
#' @param minFrequency peaks whose frequency of occurence in replicates below this are dropped
#' @param lowerMassCutoff lower mass to retain
#' @param upperMassCutoff upper mass to retain
#' @param minSNR minimum SNR a peak must have to be retained
#' @param brushInputs brusked dendrogram outputs
#'
#' @return a list containg two lists of MALDIquant peak objects "samplePeaks" and "matrixPeaks"
.getSmallPeaksFromBrush <- function(pool,
sampleIDs = NULL,
dendrogram,
brushInputs,
matrixIDs = NULL,
minFrequency,
lowerMassCutoff,
upperMassCutoff,
minSNR){
#TODO split the brush out into own function
if (is.null(sampleIDs)) {
if (!is.null(dendrogram)) {
# If there is a protein dendrogram but a user hasn't brushed:
if (is.null(brushInputs()$ymin)) {
# Don't ovrwhelm the browser by displaying everthing when page loads
if (length(labels(dendrogram)) >= 25) {
# If more than 25 strains present, only display 10 to start, otherwise display all
# Get random 10 strain IDs from dendrogram
sampleIDs <- labels(dendrogram)[1:sample.int(10, 1)]
} else {
sampleIDs <- labels(dendrogram)
}
} else {
# Get the labels of the brushed dendrogram
sampleIDs <- labelsFromBrushedDendrogram(dendrogram = dendrogram,
brushYmin = brushInputs()$ymin,
brushYmax = brushInputs()$ymax)
}
} else {
# All mall moleculesamples
sampleIDs <- NULL
}
}
idbac_get_peaks(pool = pool,
sampleIDs = sampleIDs,
minFrequency = minFrequency,
lowerMassCutoff = lowerMassCutoff,
upperMassCutoff = upperMassCutoff,
minSNR = minSNR,
tolerance = 0.002,
type = "small",
mergeReplicates = TRUE)
}
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