## ----------------------------------------------------------------------------- suppressMessages(require(hdxmsqc)) require(S4Vectors) suppressMessages(require(dplyr)) require(tidyr) require(QFeatures) require(RColorBrewer) require(ggplot2) require(MASS) require(pheatmap) require(Spectra) require(patchwork) ## ----------------------------------------------------------------------------- BRD4uncurated <- data.frame(read.csv(system.file("extdata", "ELN55049_AllResultsTables_Uncurated.csv", package = "hdxmsqc", mustWork = TRUE))) ## ----------------------------------------------------------------------------- BRD4uncurated_wide <- processHDE(HDExaminerFile = BRD4uncurated, proteinStates = c("wt", "iBET")) ## ----------------------------------------------------------------------------- i <- grep(pattern = "X..Deut", x = names(BRD4uncurated_wide)) ## ----------------------------------------------------------------------------- BRD4df <- readQFeatures(assayData = BRD4uncurated_wide, ecol = i, names = "Deuteration", fnames = "fnames") ## ----------------------------------------------------------------------------- pheatmap(assay(BRD4df), cluster_rows = FALSE, scale = "row") ## ----------------------------------------------------------------------------- plotMissing(object = BRD4df) ## ----------------------------------------------------------------------------- BRD4df_filtered <- isMissingAtRandom(object = BRD4df) ## ----------------------------------------------------------------------------- plotMissing(object = BRD4df_filtered) ## ----------------------------------------------------------------------------- BRD4df_filtered_imputed <- impute(BRD4df_filtered, method = "zero", i = 1) ## ----------------------------------------------------------------------------- massError <- computeMassError(object = BRD4df_filtered_imputed) plotMassError(object = BRD4df_filtered_imputed) ## ----------------------------------------------------------------------------- intensityOutlier <- intensityOutliers(object = BRD4df_filtered_imputed) plotIntensityOutliers(object = BRD4df_filtered_imputed) ## ----------------------------------------------------------------------------- dfrt <- rTimeOutliers(object = BRD4df_filtered_imputed) plotrTimeOutliers(object = BRD4df_filtered_imputed) ## ----------------------------------------------------------------------------- experiment <- c("wt", "iBET") timepoints <- rep(c(0, 15, 60, 600, 3600, 14000), each = 3) ## ----------------------------------------------------------------------------- monoStat <- computeMonotoneStats(object = BRD4df_filtered_imputed, experiment = experiment, timepoints = timepoints) out <- plotMonotoneStat(object = BRD4df_filtered_imputed, experiment = experiment, timepoints = timepoints) out ## ----------------------------------------------------------------------------- imTimeOut <- imTimeOutlier(object = BRD4df_filtered_imputed) plotImTimeOutlier(object = BRD4df_filtered_imputed) ## ----------------------------------------------------------------------------- csCor <- chargeCorrelationHdx(object = BRD4df_filtered_imputed, experiment = experiment, timepoints = timepoints) csCor ## ----------------------------------------------------------------------------- replicateVar <- replicateCorrelation(object = BRD4df_filtered_imputed, experiment = experiment, timepoints = timepoints) replicateOut <- replicateOutlier(object = BRD4df_filtered_imputed, experiment = experiment, timepoints = timepoints) ## ----------------------------------------------------------------------------- tocheck <- compatibleUptake(object = BRD4df_filtered_imputed, experiment = experiment, timepoints = timepoints) ## ----------------------------------------------------------------------------- hdxsite <- data.frame(read.csv(system.file("extdata", "BRD4_RowChecked_20220628_HDsite.csv", package = "hdxmsqc", mustWork = TRUE), header = TRUE, fileEncoding = 'UTF-8-BOM')) BRD4matched <- read.csv(system.file("extdata", "BRD4_RowChecked_20220628_HDE.csv", package = "hdxmsqc", mustWork = TRUE), header = TRUE, fileEncoding = 'UTF-8-BOM') ## ----------------------------------------------------------------------------- spectraCompare <- spectraSimilarity(peaks = hdxsite, object = BRD4matched, experiment = experiment, numSpectra = NULL) ## ----------------------------------------------------------------------------- head(spectraCompare$observedSpectra$score) ## ----------------------------------------------------------------------------- plotSpectraMirror(spectraCompare$observedSpectra[1,], spectraCompare$matchedSpectra[1,], ppm = 300) ## ----------------------------------------------------------------------------- qctable <- qualityControl(object = BRD4df_filtered_imputed, massError = massError, intensityOutlier = intensityOutlier, retentionOutlier = dfrt, monotonicityStat = monoStat, mobilityOutlier = imTimeOut, chargeCorrelation = csCor, replicateCorrelation = replicateVar, replicateOutlier = replicateOut, sequenceCheck = tocheck, spectraCheck = spectraCompare, experiment = experiment, timepoints = timepoints ) ## ----------------------------------------------------------------------------- sessionInfo()