# HG changeset patch
# User galaxyp
# Date 1534952969 14400
# Node ID 01212bf66f61123a0d3f98e7c4b9e35c9e9ab8ee
planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/MALDIquant commit 5feaf3d0e0da8cef1241fecc1f4d6f81324594e6
diff -r 000000000000 -r 01212bf66f61 maldi_macros.xml
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/maldi_macros.xml	Wed Aug 22 11:49:29 2018 -0400
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+
+    
+    
+
+    
+        
+            bioconductor-cardinal
+            r-maldiquantforeign
+            r-maldiquant
+            r-ggplot2
+        
+    
+
+    
+    
+        10.1093/bioinformatics/bts447
+    
+    
+
diff -r 000000000000 -r 01212bf66f61 maldi_quant_peakdetection.xml
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/maldi_quant_peakdetection.xml	Wed Aug 22 11:49:29 2018 -0400
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+
+    
+        Peak detection, binning and filtering for mass-spectrometry imaging data
+    
+    
+        maldi_macros.xml
+    
+    
+    
+     $outfile_imzml &&
+        ls -l "$outfile_imzml.files_path" >> $outfile_imzml
+    ]]>
+    
+    
+        20 && number_combined<40){
+            legend_size = 9
+        }else if (number_combined>40 && number_combined<60){
+            legend_size = 8
+        }else if (number_combined>60 && number_combined<100){
+            legend_size = 7
+        }else{
+            legend_size = 6
+        }
+
+        combine_plot = ggplot(merged_annotation, aes(x=x, y=y, fill=annotation))+
+               geom_tile() +
+               coord_fixed()+
+               ggtitle("Spatial orientation of annotated data")+
+               theme_bw()+
+               theme(plot.title = element_text(hjust = 0.5))+
+               theme(text=element_text(family="ArialMT", face="bold", size=12))+
+               theme(legend.position="bottom",legend.direction="vertical")+
+               theme(legend.key.size = unit(0.2, "line"), legend.text = element_text(size = legend_size))+
+               guides(fill=guide_legend(ncol=5,byrow=TRUE))
+
+        print(combine_plot)
+
+#end if
+
+
+#################### Preprocessing methods #####################################
+
+#for $method in $methods:
+
+
+    #if str( $method.methods_conditional.method ) == 'Peak_detection':
+        print('peak detection')
+        ##peak detection
+
+        #if $method.methods_conditional.use_annotations:
+            maldi_data <- averageMassSpectra(maldi_data, labels=samples,method="mean") ## use average spectra for peak picking
+            pixelnames = merged_annotation\$annotation
+            summarized_spectra = TRUE
+
+        #end if
+
+        peaks <- detectPeaks(maldi_data, method="$method.methods_conditional.peak_method",
+                  halfWindowSize=$method.methods_conditional.halfWindowSize,SNR=$method.methods_conditional.snr)
+
+        ## QC plot
+        plot(peaks[[1]], main="First spectrum after peak detection")
+
+        if (length(peaks[!sapply(peaks, isEmpty)])>0){
+            #if $infile.ext == 'imzml'
+                #if str($centroids) == "FALSE"
+                    featureMatrix <- intensityMatrix(peaks, maldi_data)
+                #end if
+            #else
+                featureMatrix <- intensityMatrix(peaks)
+            #end if
+            featureMatrix2 =cbind(pixelnames, featureMatrix)
+            colnames(featureMatrix2)[1] = c("mz | spectra")
+            featureMatrix2 = t(featureMatrix2)
+            write.table(featureMatrix2, file="$intensity_matrix", quote = FALSE, row.names = TRUE, col.names=FALSE, sep = "\t")
+        }else{print("There are no spectra with peaks left")}
+
+
+    #elif str( $method.methods_conditional.method ) == 'monoisotopic_peaks':
+
+        print('monoisotopic peaks')
+        ##monoisotopic peaks
+
+        peaks = monoisotopicPeaks(peaks, minCor=$method.methods_conditional.minCor, tolerance=$method.methods_conditional.tolerance, distance=$method.methods_conditional.distance, size=$method.methods_conditional.size)
+
+        ## QC plot
+        plot(peaks[[1]], main="First spectrum after monoisotopic peaks detection")
+
+        if (length(peaks[!sapply(peaks, isEmpty)])>0){
+            #if $infile.ext == 'imzml'
+                #if str($centroids) == "FALSE"
+                    featureMatrix <- intensityMatrix(peaks, maldi_data)
+                #end if
+            #else
+                featureMatrix <- intensityMatrix(peaks)
+            #end if
+            featureMatrix2 =cbind(pixelnames, featureMatrix)
+            colnames(featureMatrix2)[1] = c("mz | spectra")
+            featureMatrix2 = t(featureMatrix2)
+            write.table(featureMatrix2, file="$intensity_matrix", quote = FALSE, row.names = TRUE, col.names=FALSE, sep = "\t")
+        }else{print("There are no spectra with peaks left")}
+
+    #elif str( $method.methods_conditional.method ) == 'Binning':
+
+        print('binning')
+        ##m/z binning
+
+        peaks <- binPeaks(peaks, tolerance=$method.methods_conditional.bin_tolerance)
+        ## QC plot
+        plot(peaks[[1]], main="First spectrum after binning")
+
+        if (length(peaks[!sapply(peaks, isEmpty)])>0){
+            #if $infile.ext == 'imzml'
+                #if str($centroids) == "FALSE"
+                    featureMatrix <- intensityMatrix(peaks, maldi_data)
+                #end if
+                    #if str($centroids) == "TRUE"
+                        featureMatrix <- intensityMatrix(peaks)
+                    #end if
+            #else
+                featureMatrix <- intensityMatrix(peaks)
+            #end if
+            featureMatrix2 =cbind(pixelnames, featureMatrix)
+            colnames(featureMatrix2)[1] = c("mz | spectra")
+            featureMatrix2 = t(featureMatrix2)
+            write.table(featureMatrix2, file="$intensity_matrix", quote = FALSE, row.names = TRUE, col.names=FALSE, sep = "\t")
+        }else{print("There are no spectra with peaks left")}
+
+
+    #elif str( $method.methods_conditional.method ) == 'Filtering':
+
+        print('filtering')
+        ##m/z filtering
+
+        ## filtering on all pixels or on pixel groups:
+        #if str($method.methods_conditional.filter_annot_groups ) == 'FALSE':
+
+            peaks <- filterPeaks(peaks,
+            minFrequency=$method.methods_conditional.minFrequency,
+            minNumber=$method.methods_conditional.minNumber,
+            mergeWhitelists=$method.methods_conditional.mergeWhitelists)
+
+        #elif str( $method.methods_conditional.filter_annot_groups ) == 'TRUE':
+
+            peaks <- filterPeaks(peaks,
+            minFrequency=$method.methods_conditional.minFrequency,
+            minNumber=$method.methods_conditional.minNumber,
+            mergeWhitelists=$method.methods_conditional.mergeWhitelists, label = samples)
+        #end if
+
+        ##QC plot
+        plot(peaks[[1]], main="First spectrum after m/z filtering")
+  
+        if (length(peaks[!sapply(peaks, isEmpty)])>0){
+            #if $infile.ext == 'imzml'
+                #if str($centroids) == "FALSE"
+                    featureMatrix <- intensityMatrix(peaks, maldi_data)
+                #end if
+            #else
+                featureMatrix <- intensityMatrix(peaks)
+            #end if
+            featureMatrix2 =cbind(pixelnames, featureMatrix)
+            colnames(featureMatrix2)[1] = c("mz | spectra")
+            featureMatrix2 = t(featureMatrix2)
+            write.table(featureMatrix2, file="$intensity_matrix", quote = FALSE, row.names = TRUE, col.names=FALSE, sep = "\t")
+        }else{print("There are no spectra with peaks left")}
+
+    #end if
+#end for
+
+        if (length(peaks[!sapply(peaks, isEmpty)])>0){
+           ## mass peaks output
+            mass_peaks = data.frame(matrix(,ncol=3, nrow=0))
+            for (spectrum in 1:length(peaks)){
+            spectrum_df = data.frame(peaks[[spectrum]]@snr, peaks[[spectrum]]@mass, peaks[[spectrum]]@intensity)
+            spectrum_df\$spectrum_id = rep(pixelnames[[spectrum]], length(peaks[[spectrum]]@mass))
+            mass_peaks = rbind(mass_peaks,spectrum_df)
+            }
+            colnames(mass_peaks) = c("snr", "mass", "intensity", "spectrum")
+            write.table(mass_peaks, file="$masspeaks", quote = FALSE, row.names = FALSE, col.names=TRUE, sep = "\t")
+        }else{print("There are no spectra with peaks left")}
+
+dev.off()
+
+if (summarized_spectra == FALSE){ 
+    #if $infile.ext == 'imzml'
+        exportImzMl(peaks, file="out.imzMl", processed=$export_processed)
+    #elif $infile.ext == 'tabular'
+        masspeaks_coordinates = matrix(unlist(strsplit(as.character(pixelnames), "\\,")), ncol=2, byrow=TRUE)
+        ## extract x and y values and create the coordinate matrix in case tabular was input
+        peaklist_coordinates = unique(cbind(as.numeric(substring(masspeaks_coordinates[,1], 5, last = 1000000L)), as.numeric(substring(masspeaks_coordinates[,2], 5, last = 1000000L))))
+        exportImzMl(peaks, file="out.imzMl", processed=$export_processed, coordinates=peaklist_coordinates)
+    #end if
+}
+
+    ]]>
+        
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+        `_
+- or MSI data as peak list (tabular file) with the columns named "snr", "mass", "intensity" and "spectrum". To obtain a valid imzML output file spectrum should contain the pixel coordinates in the format: "x = 1, y = 1"
+- optinal tabular file with pixel coordinates to restrict reading of imzML file to coordinates of interest
+- optional tabular file with pixel annotations. The annotations can be used to summarize pixels of an imzML file which belong to the same group and detect peaks on average spectra, further steps will be done on average spectra as well and average spectra are exported. If this option was not chosen the filtering tool can use the annotations to filter for peaks within pixel groups (select "Group wise filtering")
+
+
+Options:
+
+- Peak detection: detection of peaks, only possible with imzML input
+- Monoisotopic peaks: detection of monoisotopic peaks
+- Peak binning: After the alignment the peak positions (mass) are very similar but not identical. The binning is needed to make similar peak mass values identical.
+- Peak filtering: Removal of less frequent peaks (either with a minimum ratio or with an absolute minimum number of spectra in which the peak has to occur)
+
+
+Output: 
+
+- centroided processed or continuous imzML file
+- pdf with mass spectra after each preprocessing step
+- peak list (tabular file) with the columns "snr", "mass", "intensity" and "spectrum"
+- tabular file with intensity matrix (m/z in rows and spectra in columns). If the input file was imzML in profile mode the intensities before peak picking are also stored in the matrix . For all other inputs not picked values are set to NA. 
+
+.. _MALDIquant: http://strimmerlab.org/software/maldiquant/
+
+        ]]>
+    
+    
+
diff -r 000000000000 -r 01212bf66f61 test-data/Analyze75.hdr
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diff -r 000000000000 -r 01212bf66f61 test-data/Example_Continuous.imzML
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/Example_Continuous.imzML	Wed Aug 22 11:49:29 2018 -0400
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diff -r 000000000000 -r 01212bf66f61 test-data/Preprocessing1_QC.pdf
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diff -r 000000000000 -r 01212bf66f61 test-data/align_reference_test2.tabular
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/align_reference_test2.tabular	Wed Aug 22 11:49:29 2018 -0400
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+350
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diff -r 000000000000 -r 01212bf66f61 test-data/annotations_output3.tabular
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/annotations_output3.tabular	Wed Aug 22 11:49:29 2018 -0400
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+x	y	pixel_index	annotation
+3	1	3	col3
+2	2	5	col2
+1	3	7	col1
diff -r 000000000000 -r 01212bf66f61 test-data/int1.tabular
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/int1.tabular	Wed Aug 22 11:49:29 2018 -0400
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+mz | spectra	col1	col2	col3
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diff -r 000000000000 -r 01212bf66f61 test-data/int2.tabular
diff -r 000000000000 -r 01212bf66f61 test-data/intensity_matrix3.tabular
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/intensity_matrix3.tabular	Wed Aug 22 11:49:29 2018 -0400
@@ -0,0 +1,61 @@
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diff -r 000000000000 -r 01212bf66f61 test-data/masspeaks1.tabular
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/masspeaks1.tabular	Wed Aug 22 11:49:29 2018 -0400
@@ -0,0 +1,99 @@
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diff -r 000000000000 -r 01212bf66f61 test-data/masspeaks1_forinput.tabular
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/masspeaks1_forinput.tabular	Wed Aug 22 11:49:29 2018 -0400
@@ -0,0 +1,99 @@
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diff -r 000000000000 -r 01212bf66f61 test-data/masspeaks2.tabular
diff -r 000000000000 -r 01212bf66f61 test-data/masspeaks3.tabular
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/masspeaks3.tabular	Wed Aug 22 11:49:29 2018 -0400
@@ -0,0 +1,298 @@
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diff -r 000000000000 -r 01212bf66f61 test-data/outfile1.imzML
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
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