Tools for quantitiative proteomics data analysis generated from qPLEX-RIME method The package offers the following functionalities Data processing, normalization & analysis:
convertToMSnset
: Converts quantitative data to a MSnSet
summarizeIntensities
: Summarizes multiple peptide measurements
for a protein
normalizeQuantiles
: Performs quantile normalization on the
peptides/proteins intensities
normalizeScaling
: Performs scaling normalization on the
peptides/proteins intensities (mean, median or sum)
groupScaling
: Performs scaling normalization on the
peptides/proteins intensities within group (median or mean)
rowScaling
: Normalization by scaling peptide/protein intensity
across all samples
regressIntensity
: Performs linear regression on protein
intensities based on selected protein
computeDiffStats
: Compute differential statistics for the given
contrasts
getContrastResults
: Get differential statistics results for
given contrast
Visualization:
assignColours
: Assigns colours to samples in groups
corrPlot
: Correlation plot of all the samples
coveragePlot
: Computes and display protein sequence coverage of
hierarchicalPlot
: Hierarchical clustering plot of all the
samples
intensityBoxplot
: Intensity distribution boxplot of all the
samples
intensityPlot
: Intensity distribution plot of all the samples
maVolPlot
: MA or Volcano plot of differential analysis results
pcaPlot
: PCA plot of all the samples
peptideIntensityPlot
: Peptide intensity distribution plot of
specific protein
plotMeanVar
: Computes and plots mean-variance for samples in
MSnSet
rliPlot
: Relative intensity plot of all the samples
selected protein in proteomics experiment
Matthew Eldridge, Kamal Kishore, Ashley Sawle (Maintainer)
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