library(LFQbench)
library(readr)
set.seed(1234)
# For the simulator ===============================================================
numReplicates = 3
numProteinsSpecies = c(2000, 1500, 1000)
peptidesPerProtein = c(3, 3, 3)
species = c("HUMAN", "YEAST", "ECOLI")
speciesRatios = c(0.0, 1.0, -2.0)
stdDevRatios = c(0.001, 0.001, 0.001)
proteinAbundanceDistribution = c(6.0, 1.5)
stdDeviationFactorMS = 0.03
BackgroundSignalLevel = 0.2 #2^14
NMARFactor = 0.05 # Not Missing at Random missing values factor
MARFactor = 0.01 # Missing at Random missing values factor
weibullShape = 0.5
ProteinAbundanceErrorFactor = 1.5 # 5.0
# General LFQbench settings =======================================================
srcDir = "ext/simulations/simulator"
expFile = "test_PeptideSummary.tsv"
replicateNames = c(paste0("A", 1:numReplicates), paste0("B", 1:numReplicates))
dataSets = data.frame(
"Test"= replicateNames
,row.names=replicateNames
)
# Define the species tags of the protein entries in your experiment
speciesTags = list(HUMAN = "_HUMAN", YEAST = "_YEAS", ECOLI = "_ECOLI")
# =================================================================================
mySimExp <- FSWE.simExperiment(numReplicates = numReplicates,
species = species,
speciesRatios = speciesRatios,
stdDevRatios = stdDevRatios,
numProteinsSpecies = numProteinsSpecies,
peptidesPerProtein = peptidesPerProtein,
proteinAbundanceDistribution = proteinAbundanceDistribution,
stdDeviationFactorMS = stdDeviationFactorMS,
BackgroundSignalLevel = BackgroundSignalLevel,
NMARFactor = NMARFactor,
MARFactor = MARFactor,
ProteinAbundanceErrorFactor = ProteinAbundanceErrorFactor,
weibullShape = weibullShape)
# exp.complete <- t(mySimExp[complete.cases(mySimExp[,4:9]), 4:9])
# exp.dist <- dist(exp.complete)
# exp.clusters <- hclust(exp.dist)
# plot(exp.clusters)
# cutree(exp.clusters, 2)
#write.csv2(mySimExp, file = file.path(srcDir, expFile) , sep = "\t", na = "NA", row.names = F, col.names = T)
mkdir(srcDir)
write_tsv(mySimExp, path = file.path(srcDir, expFile), na = "NA", col_names = T)
LFQbench.initConfiguration()
FSWE.initConfiguration( dataSets, speciesTags )
FSWE.addSoftwareConfiguration("test",
input_format = "wide",
input.extension = "*.tsv$",
nastrings = "NA",
protein_input = F,
quantitative.var = "quant",
quantitative.var.tag = "^quant",
protein.var = "protein",
sequence.mod.var = "peptide",
charge.var = "charge")
FSWE.switchSoftwareConfiguration("test")
LFQbench.setDataRootFolder( srcDir, createSubfolders = T )
FSWE.generateReports(experimentFile = expFile,
plotHistogram = T,
plotHistNAs = T,
reportSequences = F,
keep_original_names = T)
nix = LFQbench.batchProcessRootFolder()
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