# HG changeset patch
# User galaxyp
# Date 1585138397 14400
# Node ID 5bf056c0354e547c043fdcd94287d14158686ca5
# Parent ed9ed1e6cca2fd5db5e9e7719d550d1a34bbce01
"planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit 15e24b1f0143679647906bc427654f66b417a45c"
diff -r ed9ed1e6cca2 -r 5bf056c0354e macros.xml
--- a/macros.xml Fri Dec 13 13:57:13 2019 -0500
+++ b/macros.xml Wed Mar 25 08:13:17 2020 -0400
@@ -1,316 +1,322 @@
-
- 1.12.1
-
-
-
- bioconductor-cardinal
- r-base
-
-
-
-
-
- /dev/null | grep -v -i "WARNING: ")
- ]]>
-
-
-
-
-
-
-
-
-
-
-
- 0, for if conditions
- npeaks= sum(spectra(msidata)>0, na.rm=TRUE)
- ## Number of NA in spectra matrix
- NAcount = sum(is.na(spectra(msidata)))
- ## Number of NA in spectra matrix
- infcount = sum(is.infinite(spectra(msidata)))
- ## Number of duplicated coordinates
- dupl_coord = sum(duplicated(coord(msidata)))
-
- properties = c("Number of m/z features",
- "Range of m/z values",
- "Number of pixels",
- "Range of x coordinates",
- "Range of y coordinates",
- "Range of intensities",
- "Number of NA intensities",
- "Number of Inf intensities",
- "Number of duplicated coordinates")
-
- values = c(paste0(maxfeatures),
- paste0(minmz, " - ", maxmz),
- paste0(pixelcount),
- paste0(minimumx, " - ", maximumx),
- paste0(minimumy, " - ", maximumy),
- paste0(minint, " - ", maxint),
- paste0(NAcount),
- paste0(infcount),
- paste0(dupl_coord))
-
- property_df = data.frame(properties, values)
- ]]>
-
- `_
- ]]>
- `_
- - Analyze7.5 (upload hdr, img and t2m file via the "composite" function)
- - Cardinal "MSImageSet" data saved as .RData
- ]]>
-
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- 10.1093/bioinformatics/btv146
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+
+ 1.12.1
+
+
+
+ bioconductor-cardinal
+ r-base
+
+
+
+
+
+ /dev/null | grep -v -i "WARNING: ")
+ ]]>
+
+
+
+
+
+
+
+
+
+
+
+ 0, for if conditions
+ npeaks= sum(spectra(msidata)>0, na.rm=TRUE)
+ ## Number of NA in spectra matrix
+ NAcount = sum(is.na(spectra(msidata)))
+ ## Number of NA in spectra matrix
+ infcount = sum(is.infinite(spectra(msidata)))
+ ## Number of duplicated coordinates
+ dupl_coord = sum(duplicated(coord(msidata)))
+
+ properties = c("Number of m/z features",
+ "Range of m/z values",
+ "Number of pixels",
+ "Range of x coordinates",
+ "Range of y coordinates",
+ "Range of intensities",
+ "Number of NA intensities",
+ "Number of Inf intensities",
+ "Number of duplicated coordinates")
+
+ values = c(paste0(maxfeatures),
+ paste0(minmz, " - ", maxmz),
+ paste0(pixelcount),
+ paste0(minimumx, " - ", maximumx),
+ paste0(minimumy, " - ", maximumy),
+ paste0(minint, " - ", maxint),
+ paste0(NAcount),
+ paste0(infcount),
+ paste0(dupl_coord))
+
+ property_df = data.frame(properties, values)
+ ]]>
+
+ `_
+ ]]>
+ `_
+ - Analyze7.5 (upload hdr, img and t2m file via the "composite" function)
+ - Cardinal "MSImageSet" data saved as .RData
+ ]]>
+
+
+
+
+
+
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+ 10.1093/bioinformatics/btv146
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diff -r ed9ed1e6cca2 -r 5bf056c0354e preprocessing.xml
--- a/preprocessing.xml Fri Dec 13 13:57:13 2019 -0500
+++ b/preprocessing.xml Wed Mar 25 08:13:17 2020 -0400
@@ -1,15 +1,17 @@
-
+
mass spectrometry imaging preprocessing
macros.xml
-
+
+ bioconductor-cardinal
+ r-base
r-gridextra
- r-ggplot2
- r-lattice
-
+ r-ggplot2
+ r-lattice
+
$outfile_imzml &&
ls -l "$outfile_imzml.files_path" >> $outfile_imzml
@@ -37,12 +37,37 @@
library(lattice)
library(ggplot2)
-@READING_MSIDATA@
+
+ ## function to read RData files independent of filename
+ loadRData <- function(fileName){
+ load(fileName)
+ get(ls()[ls() != "fileName"])
+ }
-@READING_MSIDATA_INRAM@ ###change out
+ #if $infile.ext == 'imzml'
+ #if str($processed_cond.processed_file) == "processed":
+ msidata <- readImzML('infile', resolution=$processed_cond.accuracy, units = "$processed_cond.units")
+ centroided(msidata) = $centroids
+ #else
+ msidata <- readImzML('infile')
+ centroided(msidata) = $centroids
+ #end if
+ #elif $infile.ext == 'analyze75'
+ msidata = readAnalyze('infile')
+ centroided(msidata) = $centroids
+ #else
+ msidata = loadRData('infile.RData')
+ msidata = as(msidata, "MSImagingExperiment")
+ #end if
+
## remove duplicated coordinates, otherwise peak picking and log2 transformation will fail
-msidata <- msidata[,!duplicated(coord(msidata)[,1:2])]
+msidata <- msidata[,!duplicated(coord(msidata)[,1:2])]
+
+## set variable to False
+#set $used_peak_picking = False
+#set $used_peak_alignment = False
+#set $continuous_format = False
if (ncol(msidata)>0 & nrow(msidata) >0){
@@ -63,12 +88,10 @@
vectorofactions = "inputdata"
## Choose random spectra for QC plots
random_spectra = sample(pixels(msidata), 4, replace=FALSE)
- par(mfrow = c(2, 2), oma=c(0,0,2,0))
- for (random_sample in 1:length(random_spectra)){
- plot(msidata, pixel=random_spectra[random_sample], main=paste0("spectrum ", names(random_spectra)[random_sample]))}
+ par(oma=c(0,0,2,0))
+ print(plot(msidata, pixel=random_spectra))
title("Input spectra", outer=TRUE, line=0)
-
############################### Preprocessing steps ###########################
###############################################################################
@@ -80,7 +103,13 @@
print('Normalization')
##normalization
+ if (class(msidata) == "MSProcessedImagingExperiment"){
+ msidata = as(msidata, "MSContinuousImagingExperiment")
+ }
+
msidata = normalize(msidata, method="tic")
+ msidata <- process(msidata, BPPARAM=MulticoreParam())
+
############################### QC ###########################
@@ -91,9 +120,7 @@
normalized = c(minmz, maxmz,maxfeatures, pixelcount)
QC_numbers= cbind(QC_numbers, normalized)
vectorofactions = append(vectorofactions, "normalized")
- par(mfrow = c(2, 2), oma=c(0,0,2,0))
- for (random_sample in 1:length(random_spectra)){
- plot(msidata, pixel=random_spectra[random_sample], main=paste0("spectrum ", names(random_spectra)[random_sample]))}
+ print(plot(msidata, pixel=random_spectra))
title("Spectra after normalization", outer=TRUE, line=0)
############################### Baseline reduction ###########################
@@ -102,7 +129,12 @@
print('Baseline_reduction')
##baseline reduction
+ if (class(msidata) == "MSProcessedImagingExperiment"){
+ msidata = as(msidata, "MSContinuousImagingExperiment")
+ }
+
msidata = reduceBaseline(msidata, method="median", blocks=$method.methods_conditional.blocks_baseline, spar=$method.methods_conditional.spar_baseline)
+ msidata <- process(msidata, BPPARAM=MulticoreParam())
############################### QC ###########################
@@ -113,8 +145,7 @@
baseline = c(minmz, maxmz,maxfeatures, pixelcount)
QC_numbers= cbind(QC_numbers, baseline)
vectorofactions = append(vectorofactions, "baseline red.")
- for (random_sample in 1:length(random_spectra)){
- plot(msidata, pixel=random_spectra[random_sample], main=paste0("spectrum ", names(random_spectra)[random_sample]))}
+ print(plot(msidata, pixel=random_spectra))
title("Spectra after baseline reduction", outer=TRUE, line=0)
############################### Smoothing ###########################
@@ -123,6 +154,11 @@
print('Smoothing')
## Smoothing
+ if (class(msidata) == "MSProcessedImagingExperiment"){
+ msidata = as(msidata, "MSContinuousImagingExperiment")
+ }
+
+
#if str( $method.methods_conditional.methods_for_smoothing.smoothing_method) == 'gaussian':
print('gaussian smoothing')
@@ -144,6 +180,7 @@
msidata = smoothSignal(msidata, method="$method.methods_conditional.methods_for_smoothing.smoothing_method", window=$method.methods_conditional.window_smoothing, coef = $method.methods_conditional.methods_for_smoothing.coefficients_ma_filter)
#end if
+ msidata <- process(msidata, BPPARAM=MulticoreParam())
############################### QC ###########################
@@ -154,13 +191,13 @@
smoothed = c(minmz, maxmz,maxfeatures, pixelcount)
QC_numbers= cbind(QC_numbers, smoothed)
vectorofactions = append(vectorofactions, "smoothed")
- for (random_sample in 1:length(random_spectra)){
- plot(msidata, pixel=random_spectra[random_sample], main=paste0("spectrum ", names(random_spectra)[random_sample]))}
+ print(plot(msidata, pixel=random_spectra))
title("Spectra after smoothing", outer=TRUE, line=0)
############################### Peak picking ###########################
#elif str( $method.methods_conditional.preprocessing_method) == 'Peak_picking':
+ #set $used_peak_picking = True
print('Peak_picking')
## Peakpicking
@@ -169,10 +206,10 @@
msidata = peakPick(msidata, window = $method.methods_conditional.window_picking, blocks = $method.methods_conditional.blocks_picking, method='$method.methods_conditional.methods_for_picking.picking_method', SNR=$method.methods_conditional.SNR_picking_method, spar=$method.methods_conditional.methods_for_picking.spar_picking)
- #elif str( $method.methods_conditional.methods_for_picking.picking_method) == 'limpic':
- print('limpic peakpicking')
+ #elif str( $method.methods_conditional.methods_for_picking.picking_method) == 'mad':
+ print('mad peakpicking')
- msidata = peakPick(msidata, window = $method.methods_conditional.window_picking, blocks = $method.methods_conditional.blocks_picking, method='$method.methods_conditional.methods_for_picking.picking_method', SNR=$method.methods_conditional.SNR_picking_method, thresh=$method.methods_conditional.methods_for_picking.tresh_picking)
+ msidata = peakPick(msidata, window = $method.methods_conditional.window_picking, blocks = $method.methods_conditional.blocks_picking, method='$method.methods_conditional.methods_for_picking.picking_method', SNR=$method.methods_conditional.SNR_picking_method)
#elif str( $method.methods_conditional.methods_for_picking.picking_method) == 'simple':
print('simple peakpicking')
@@ -180,6 +217,12 @@
msidata = peakPick(msidata, window = $method.methods_conditional.window_picking, blocks = $method.methods_conditional.blocks_picking, method='$method.methods_conditional.methods_for_picking.picking_method', SNR=$method.methods_conditional.SNR_picking_method)
#end if
+ msidata <- process(msidata, BPPARAM=MulticoreParam())
+
+ #if str($method.methods_conditional.imzml_output) == "cont_format":
+ #set $continuous_format = True
+ #end if
+
############################### QC ###########################
@@ -190,45 +233,40 @@
picked = c(minmz, maxmz,maxfeatures, pixelcount)
QC_numbers= cbind(QC_numbers, picked)
vectorofactions = append(vectorofactions, "picked")
- for (random_sample in 1:length(random_spectra)){
- plot(msidata, pixel=random_spectra[random_sample], main=paste0("spectrum ", names(random_spectra)[random_sample]))}
+ print(plot(msidata, pixel=random_spectra))
title("Spectra after peak picking", outer=TRUE, line=0)
############################### Peak alignment ###########################
#elif str( $method.methods_conditional.preprocessing_method ) == 'Peak_alignment':
+ #set $used_peak_alignment = True
print('Peak_alignment')
## Peakalignment
- #if str( $method.methods_conditional.align_ref_type.align_reference_datatype) == 'align_noref':
-
- align_peak_reference = msidata
-
- #elif str( $method.methods_conditional.align_ref_type.align_reference_datatype) == 'align_table':
+ #if str( $method.methods_conditional.align_ref_type.align_reference_datatype) == 'align_table':
align_reference_table = read.delim("$method.methods_conditional.align_ref_type.mz_tabular", header = $method.methods_conditional.align_ref_type.feature_header, stringsAsFactors = FALSE)
+
align_reference_column = align_reference_table[,$method.methods_conditional.align_ref_type.feature_column]
- align_peak_reference = align_reference_column[align_reference_column>=min(mz(msidata)) & align_reference_column<=max(mz(msidata))]
+
+ align_peak_reference = as.numeric(align_reference_column[align_reference_column>=min(mz(msidata)) & align_reference_column<=max(mz(msidata))])
if (length(align_peak_reference) == 0)
{align_peak_reference = 0}
-
- #elif str( $method.methods_conditional.align_ref_type.align_reference_datatype) == 'align_msidata_ref':
+
+ msidata = peakAlign(msidata,tolerance =$method.methods_conditional.value_diffalignment, units = "$method.methods_conditional.units_diffalignment", ref=align_peak_reference)
+
- align_peak_reference = loadRData('$method.methods_conditional.align_ref_type.align_peaks_msidata')
+ #elif str( $method.methods_conditional.align_ref_type.align_reference_datatype) == 'align_noref':
+
+ msidata = peakAlign(msidata,tolerance =$method.methods_conditional.value_diffalignment, units = "$method.methods_conditional.units_diffalignment")
#end if
- #if str( $method.methods_conditional.methods_for_alignment.alignment_method) == 'diff':
- print('diff peakalignment')
-
- msidata = peakAlign(msidata, method='$method.methods_conditional.methods_for_alignment.alignment_method',diff.max =$method.methods_conditional.methods_for_alignment.value_diffalignment, units = "$method.methods_conditional.methods_for_alignment.units_diffalignment", ref=align_peak_reference)
+ msidata <- process(msidata, BPPARAM=MulticoreParam())
- #elif str( $method.methods_conditional.methods_for_alignment.alignment_method) == 'DP':
- print('DPpeakalignment')
-
- msidata = peakAlign(msidata, method='$method.methods_conditional.methods_for_alignment.alignment_method',gap = $method.methods_conditional.methods_for_alignment.gap_DPalignment, ref=align_peak_reference)
-
- #end if
+ #if str($method.methods_conditional.imzml_output) == "cont_format":
+ #set $continuous_format = True
+ #end if
############################### QC ###########################
@@ -239,8 +277,7 @@
aligned = c(minmz, maxmz,maxfeatures, pixelcount)
QC_numbers= cbind(QC_numbers, aligned)
vectorofactions = append(vectorofactions, "aligned")
- for (random_sample in 1:length(random_spectra)){
- plot(msidata, pixel=random_spectra[random_sample], main=paste0("spectrum ", names(random_spectra)[random_sample]))}
+ print(plot(msidata, pixel=random_spectra))
title("Spectra after alignment", outer=TRUE, line=0)
############################### Peak filtering ###########################
@@ -248,7 +285,8 @@
#elif str( $method.methods_conditional.preprocessing_method) == 'Peak_filtering':
print('Peak_filtering')
- msidata = peakFilter(msidata, method='freq', freq.min = $method.methods_conditional.frequ_filtering)
+ msidata = peakFilter(msidata, freq.min = $method.methods_conditional.frequ_filtering)
+ msidata <- process(msidata, BPPARAM=MulticoreParam())
############################### QC ###########################
@@ -259,8 +297,7 @@
filtered = c(minmz, maxmz,maxfeatures, pixelcount)
QC_numbers= cbind(QC_numbers, filtered)
vectorofactions = append(vectorofactions, "filtered")
- for (random_sample in 1:length(random_spectra)){
- plot(msidata, pixel=random_spectra[random_sample], main=paste0("spectrum ", names(random_spectra)[random_sample]))}
+ print(plot(msidata, pixel=random_spectra))
title("Spectra after filtering", outer=TRUE, line=0)
############################### Data reduction ###########################
@@ -268,6 +305,9 @@
#elif str( $method.methods_conditional.preprocessing_method) == 'Data_reduction':
print('Data_reduction')
+ ## these functions only work on MSImageSet
+ msidata = as(msidata, "MSImageSet")
+
#if str( $method.methods_conditional.methods_for_reduction.reduction_method) == 'bin':
print('bin reduction')
@@ -302,6 +342,10 @@
msidata = reduceDimension(msidata, method="peaks", ref=peak_reference, type="$method.methods_conditional.methods_for_reduction.peaks_type")
#end if
+
+ ## coercition into new format
+ msidata = as(msidata, "MSImagingExperiment")
+
############################### QC ###########################
maxfeatures =nrow(msidata)
@@ -311,8 +355,7 @@
reduced = c(minmz, maxmz,maxfeatures, pixelcount)
QC_numbers= cbind(QC_numbers, reduced)
vectorofactions = append(vectorofactions, "reduced")
- for (random_sample in 1:length(random_spectra)){
- plot(msidata, pixel=random_spectra[random_sample], main=paste0("spectrum ", names(random_spectra)[random_sample]))}
+ print(plot(msidata, pixel=random_spectra))
title("Spectra after data reduction", outer=TRUE, line=0)
############################### Transformation ###########################
@@ -320,14 +363,15 @@
#elif str( $method.methods_conditional.preprocessing_method) == 'Transformation':
print('Transformation')
- ## convert data into R matrix what brings it automatically into memory and can take some take but next steps need R matrix
- ##iData(msidata) <- iData(msidata)[]
+ if (class(msidata) == "MSProcessedImagingExperiment"){
+ msidata = as(msidata, "MSContinuousImagingExperiment")
+ }
#if str( $method.methods_conditional.transf_conditional.trans_type) == 'log2':
print('log2 transformation')
## replace 0 with NA to prevent Inf
- spectra_df = spectra(msidata)[] ## convert into R matrix
+ spectra_df = spectra(msidata) ## convert into R matrix
spectra_df[spectra_df ==0] = NA
print(paste0("Number of 0 which were converted into NA:",sum(is.na(spectra_df))))
spectra(msidata) = spectra_df
@@ -341,7 +385,7 @@
#elif str( $method.methods_conditional.transf_conditional.trans_type) == 'sqrt':
print('squareroot transformation')
- spectra(msidata) = sqrt(spectra(msidata)[])
+ spectra(msidata) = sqrt(spectra(msidata))
#end if
@@ -354,8 +398,7 @@
transformed = c(minmz, maxmz,maxfeatures, pixelcount)
QC_numbers= cbind(QC_numbers, transformed)
vectorofactions = append(vectorofactions, "transformed")
- for (random_sample in 1:length(random_spectra)){
- plot(msidata, pixel=random_spectra[random_sample], main=paste0("spectrum ", names(random_spectra)[random_sample]))}
+ print(plot(msidata, pixel=random_spectra))
title("Spectra after transformation", outer=TRUE, line=0)
#end if
@@ -366,22 +409,25 @@
## save msidata as imzML file, will only work if there is at least 1 m/z left
- #if str($imzml_output) == "imzml_format":
if (nrow(msidata) > 0){
## make sure that coordinates are integers
coord(msidata)\$y = as.integer(coord(msidata)\$y)
coord(msidata)\$x = as.integer(coord(msidata)\$x)
- writeImzML(msidata, "out")}
- #elif str($imzml_output) == "rdata_format":
- ## save as (.RData)
- iData(msidata) = iData(msidata)[]
- save(msidata, file="$outfile_rdata")
- #end if
+ #if $used_peak_picking:
+ #if $continuous_format:
+ msidata = as(msidata, "MSContinuousImagingExperiment")
+ #end if
+ #elif $used_peak_alignment
+ #if $continuous_format:
+ msidata = as(msidata, "MSContinuousImagingExperiment")
+ #end if
+ #end if
+ writeImzML(msidata, "out")
+ }
plot(0,type='n',axes=FALSE,ann=FALSE)
rownames(QC_numbers) = c("min m/z", "max mz", "# features", "# spectra")
grid.table(t(QC_numbers))
-
dev.off()
}else{
@@ -395,7 +441,7 @@
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label="Window size"/>
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applied to the spectrum in order to decide the cutoffs
for throwing away false noise spikes that might occur inside peaks"/>
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- imzml_output=='imzml_format'
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**Options**
-- Normalization: Normalization of intensities to total ion current (TIC)
+- Normalization: Normalization of intensities to total ion current (TIC) or to root-mean-square (RMS)
- Baseline reduction: Baseline reduction removes background intensity generated by chemical noise (common in MALDI datasets)
- Smoothing: Smoothing of the peaks reduces noise and improves peak detection
- Peak picking: relevant peaks are picked while noise-peaks are removed (needs peak alignment afterwards)
@@ -761,14 +802,9 @@
- Data reduction: binning, resampling or peak filtering to reduce data
- Transformation: log2 or squareroot transformation of all intensities; when using log2 transformation zero intensities will become NA, this can lead to compatibility problems.
-**Tips**
-
-- Peak alignment works only after peak picking
-- Peak filtering works only on centroided data (peak picking and alignment or Data reduction peaks
-
**Output**
-- MSI data as imzML file or .RData (can be read with the Cardinal package in R)
+- MSI data as continuous imzML file (option to output processed imzML file only after peak picking/peak alignment; but is not yet compatible with other MSI tools)
- pdf with key values and four random mass spectra after each processing step
]]>
diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/Analyze75.hdr
diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/Analyze75.img
diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/Analyze75.t2m
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/Example_Continuous.imzML
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/out3.imzml
--- a/test-data/out3.imzml Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/out3.imzml Wed Mar 25 08:13:17 2020 -0400
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/out3.imzml.txt
--- a/test-data/out3.imzml.txt Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/out3.imzml.txt Wed Mar 25 08:13:17 2020 -0400
@@ -1,4 +1,4 @@
imzML file:
total 24
--rw-r--r-- 1 meli meli 9616 Feb 12 19:18 ibd
--rw-r--r-- 1 meli meli 8282 Feb 12 19:18 imzml
+-rw-r--r-- 1 meli meli 9616 Mär 24 20:25 ibd
+-rw-r--r-- 1 meli meli 8958 Mär 24 20:25 imzml
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/out4.imzml.txt
--- a/test-data/out4.imzml.txt Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/out4.imzml.txt Wed Mar 25 08:13:17 2020 -0400
@@ -1,4 +1,4 @@
imzML file:
total 44
--rw-r--r-- 1 meli meli 28792 Feb 12 00:49 ibd
--rw-r--r-- 1 meli meli 11141 Feb 12 00:49 imzml
+-rw-r--r-- 1 meli meli 28792 Mär 24 19:23 ibd
+-rw-r--r-- 1 meli meli 12046 Mär 24 19:23 imzml
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--- a/test-data/out5.imzml.txt Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/out5.imzml.txt Wed Mar 25 08:13:17 2020 -0400
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imzML file:
total 20
--rw-r--r-- 1 meli meli 380 Feb 12 00:50 ibd
--rw-r--r-- 1 meli meli 12508 Feb 12 00:50 imzml
+-rw-r--r-- 1 meli meli 380 Mär 24 19:24 ibd
+-rw-r--r-- 1 meli meli 13525 Mär 24 19:24 imzml
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/out6.imzml.txt
--- a/test-data/out6.imzml.txt Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/out6.imzml.txt Wed Mar 25 08:13:17 2020 -0400
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imzML file:
total 164
--rw-r--r-- 1 meli meli 146896 Feb 12 00:51 ibd
--rw-r--r-- 1 meli meli 16868 Feb 12 00:51 imzml
+-rw-r--r-- 1 meli meli 146896 Mär 24 19:25 ibd
+-rw-r--r-- 1 meli meli 18221 Mär 24 19:25 imzml
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/out7.imzml.txt
--- a/test-data/out7.imzml.txt Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/out7.imzml.txt Wed Mar 25 08:13:17 2020 -0400
@@ -1,4 +1,4 @@
imzML file:
total 116
--rw-r--r-- 1 meli meli 95976 Feb 12 00:51 ibd
--rw-r--r-- 1 meli meli 16846 Feb 12 00:51 imzml
+-rw-r--r-- 1 meli meli 95976 Mär 24 19:26 ibd
+-rw-r--r-- 1 meli meli 18199 Mär 24 19:26 imzml
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/out8.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out8.imzml.txt Wed Mar 25 08:13:17 2020 -0400
@@ -0,0 +1,4 @@
+imzML file:
+total 348
+-rw-r--r-- 1 meli meli 335976 Mär 24 19:27 ibd
+-rw-r--r-- 1 meli meli 12402 Mär 24 19:27 imzml
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--- a/test-data/preprocessing_results1.imzml.txt Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/preprocessing_results1.imzml.txt Wed Mar 25 08:13:17 2020 -0400
@@ -1,4 +1,4 @@
imzML file:
total 24
--rw-r--r-- 1 meli meli 96 Feb 24 14:11 ibd
--rw-r--r-- 1 meli meli 16714 Feb 24 14:11 imzml
+-rw-r--r-- 1 meli meli 216 Mär 24 10:39 ibd
+-rw-r--r-- 1 meli meli 18090 Mär 24 10:39 imzml
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/preprocessing_results2.imzml.txt
--- a/test-data/preprocessing_results2.imzml.txt Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/preprocessing_results2.imzml.txt Wed Mar 25 08:13:17 2020 -0400
@@ -1,4 +1,4 @@
imzML file:
-total 80
--rw-r--r-- 1 meli meli 54720 Feb 24 14:12 ibd
--rw-r--r-- 1 meli meli 21132 Feb 24 14:12 imzml
+total 64
+-rw-r--r-- 1 meli meli 37404 Mär 24 10:40 ibd
+-rw-r--r-- 1 meli meli 22796 Mär 24 10:40 imzml
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/preprocessing_results3.imzml.txt
--- a/test-data/preprocessing_results3.imzml.txt Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/preprocessing_results3.imzml.txt Wed Mar 25 08:13:17 2020 -0400
@@ -1,4 +1,4 @@
imzML file:
-total 36
--rw-r--r-- 1 meli meli 14216 Feb 24 14:12 ibd
--rw-r--r-- 1 meli meli 16824 Feb 24 14:12 imzml
+total 24
+-rw-r--r-- 1 meli meli 136 Mär 24 11:10 ibd
+-rw-r--r-- 1 meli meli 18088 Mär 24 11:10 imzml
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--- a/test-data/preprocessing_results4.imzml Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/preprocessing_results4.imzml Wed Mar 25 08:13:17 2020 -0400
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/preprocessing_results4.imzml.txt
--- a/test-data/preprocessing_results4.imzml.txt Fri Dec 13 13:57:13 2019 -0500
+++ b/test-data/preprocessing_results4.imzml.txt Wed Mar 25 08:13:17 2020 -0400
@@ -1,4 +1,4 @@
imzML file:
-total 28
--rw-r--r-- 1 meli meli 6376 Feb 24 14:13 ibd
--rw-r--r-- 1 meli meli 16801 Feb 24 14:13 imzml
+total 84
+-rw-r--r-- 1 meli meli 63256 Mär 24 11:35 ibd
+-rw-r--r-- 1 meli meli 18199 Mär 24 11:35 imzml
diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/preprocessing_results4.pdf
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diff -r ed9ed1e6cca2 -r 5bf056c0354e test-data/preprocessing_results5.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/preprocessing_results5.imzml.txt Wed Mar 25 08:13:17 2020 -0400
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+imzML file:
+total 428
+-rw-r--r-- 1 meli meli 415936 Mär 24 10:57 ibd
+-rw-r--r-- 1 meli meli 18569 Mär 24 10:57 imzml
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