view msi_spectra_plots.xml @ 2:ea4f1c516368 draft

planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/msi_spectra_plots commit 1c808d60243bb1eeda0cd26cb4b0a17ab05de2c0

<tool id="mass_spectrometry_imaging_mzplots" name="MSI plot spectra" version="1.10.0.0">
    <description>
        mass spectrometry imaging mass spectra plots
    </description>
    <requirements>
        <requirement type="package" version="1.10.0">bioconductor-cardinal</requirement>
        <requirement type="package" version="2.2.1">r-gridextra</requirement>
    </requirements>
    <command detect_errors="exit_code">
    <![CDATA[
        #if $infile.ext == 'imzml'
            ln -s '${infile.extra_files_path}/imzml' infile.imzML &&
            ln -s '${infile.extra_files_path}/ibd' infile.ibd &&
        #elif $infile.ext == 'analyze75'
            ln -s '${infile.extra_files_path}/hdr' infile.hdr &&
            ln -s '${infile.extra_files_path}/img' infile.img &&
            ln -s '${infile.extra_files_path}/t2m' infile.t2m &&
        #else
            ln -s $infile infile.RData &&
        #end if
        cat '${MSI_mzplots}' &&
        Rscript '${MSI_mzplots}'
    ]]>
    </command>
    <configfiles>
        <configfile name="MSI_mzplots"><![CDATA[
################################# load libraries and read file #################

library(Cardinal)
library(gridExtra)

## Read MALDI Imaging dataset

#if $infile.ext == 'imzml'
    msidata = readImzML('infile')
#elif $infile.ext == 'analyze75'
    msidata = readAnalyze('infile')
#else
    load('infile.RData')
#end if

###################################### file properties in numbers ##############

## Number of features (mz)
maxfeatures = length(features(msidata))
## Range mz
minmz = round(min(mz(msidata)), digits=2)
maxmz = round(max(mz(msidata)), digits=2)
## Number of spectra (pixels)
pixelcount = length(pixels(msidata))
## Range x coordinates
minimumx = min(coord(msidata)[,1])
maximumx = max(coord(msidata)[,1])
## Range y coordinates
minimumy = min(coord(msidata)[,2])
maximumy = max(coord(msidata)[,2])
## Range of intensities
minint = round(min(spectra(msidata)[]), digits=2)
maxint = round(max(spectra(msidata)[]), digits=2)
medint = round(median(spectra(msidata)[]), digits=2)
## Number of intensities > 0
npeaks= sum(spectra(msidata)[]>0)
## Spectra multiplied with mz (potential number of peaks)
numpeaks = ncol(spectra(msidata)[])*nrow(spectra(msidata)[])
## Percentage of intensities > 0
percpeaks = round(npeaks/numpeaks*100, digits=2)
## Number of empty TICs
TICs = colSums(spectra(msidata)[]) 
NumemptyTIC = sum(TICs == 0)

## Processing informations
processinginfo = processingData(msidata)
centroidedinfo = processinginfo@centroided # TRUE or FALSE

## if TRUE write processinginfo if no write FALSE

## normalization
if (length(processinginfo@normalization) == 0) {
  normalizationinfo='FALSE'
} else {
  normalizationinfo=processinginfo@normalization
}
## smoothing
if (length(processinginfo@smoothing) == 0) {
  smoothinginfo='FALSE'
} else {
  smoothinginfo=processinginfo@smoothing
}
## baseline
if (length(processinginfo@baselineReduction) == 0) {
  baselinereductioninfo='FALSE'
} else {
  baselinereductioninfo=processinginfo@baselineReduction
}
## peak picking
if (length(processinginfo@peakPicking) == 0) {
  peakpickinginfo='FALSE'
} else {
  peakpickinginfo=processinginfo@peakPicking
}

properties = c("Number of mz features",
               "Range of mz values [Da]",
               "Number of pixels", 
               "Range of x coordinates", 
               "Range of y coordinates",
               "Range of intensities", 
               "Median of intensities",
               "Intensities > 0",
               "Number of zero TICs",
               "Preprocessing", 
               "Normalization", 
               "Smoothing",
               "Baseline reduction",
               "Peak picking",
               "Centroided")

values = c(paste0(maxfeatures), 
           paste0(minmz, " - ", maxmz), 
           paste0(pixelcount), 
           paste0(minimumx, " - ", maximumx),  
           paste0(minimumy, " - ", maximumy), 
           paste0(minint, " - ", maxint), 
           paste0(medint),
           paste0(percpeaks, " %"), 
           paste0(NumemptyTIC), 
           paste0(" "),
           paste0(normalizationinfo),
           paste0(smoothinginfo),
           paste0(baselinereductioninfo),
           paste0(peakpickinginfo),
           paste0(centroidedinfo))

property_df = data.frame(properties, values)

print("before pdf")

######################################## PDF ###################################
################################################################################
################################################################################


pdf("mzplots.pdf", fonts = "Times", pointsize = 12)
plot(0,type='n',axes=FALSE,ann=FALSE)

title(main=paste0("Plotted mass spectra for file: \n\n", "$infile.display_name"))


############################# I) numbers ######################################
###############################################################################

print("in pdf")
grid.table(property_df, rows= NULL)



if (npeaks > 0)
{
    pixeldf = data.frame(matrix(ncol = 2, nrow=0))


    #if str( $pixel_conditional.pixel_type) == 'single_pixel':
    print("single_pixel")

        #for $chosenpixel in $pixel_conditional.repeatpixel: 


            pixelisvalid = as.character($chosenpixel.inputx %in% coord(msidata)\$x & $chosenpixel.inputy %in% coord(msidata)\$y)
            pixelname = paste0("x=", $chosenpixel.inputx,", ", "y=", $chosenpixel.inputy)
            print(pixelname)
            print(colnames(pixeldf))
            print(colnames(cbind(pixelname, pixelisvalid)))
            pixeldf = rbind(pixeldf, cbind(pixelname, pixelisvalid))
            print(colnames(pixeldf))

            ############################# II) control image ####################
            ####################################################################


                if (pixelisvalid == "TRUE")
                {

                print(pixelisvalid)


                    image(msidata, mz=$chosenpixel.inputmz, 
                          ylim = c(maximumy+(0.2*maximumy),minimumy-1),colorkey=FALSE, plusminus = $chosenpixel.plusminusinDalton, contrast.enhance = "histogram", 
                          main= paste0("x= ",$chosenpixel.inputx, ", y= ", $chosenpixel.inputy))

                    abline(v=$chosenpixel.inputx, col ="$chosenpixel.inputcolour", lty="$chosenpixel.inputtype", lwd=$chosenpixel.inputwidth)
                    abline(h=$chosenpixel.inputy, col ="$chosenpixel.inputcolour", lty="$chosenpixel.inputtype", lwd=$chosenpixel.inputwidth)


            ##################### III) plot full mass spectrum #################
            ####################################################################

                    plot(msidata, coord=list(x=$chosenpixel.inputx, y=$chosenpixel.inputy))

            ##################### IV) plot zoom-in mass spectrum ###############
            ####################################################################

                    #if $chosenpixel.zoomedplot:
                        #for $token in $chosenpixel.zoomedplot:

                            minmasspixel = features(msidata, mz=$token.xlimmin)
                            maxmasspixel = features(msidata, mz=$token.xlimmax)

                            plot(msidata[minmasspixel:maxmasspixel,], coord=list(x=$chosenpixel.inputx, y=$chosenpixel.inputy), 
                                 xlim= c($token.xlimmin,$token.xlimmax))

                        #end for
                    #end if

                }else{
                    print("The pixel coordinates did not correspond to a real pixel")}

        #end for

    colnames(pixeldf) = c("pixel coordinates", "coordinates were found in this file")

    #elif str( $pixel_conditional.pixel_type) == 'sample_pixel':
    print("sample_pixel")

            ##################### I) Sample: plot full mass spectrum ###########
        plot(msidata, pixel=1:ncol(msidata), pixel.groups=pData(msidata)\$sample, key=TRUE, col=c("blue", "orange", "green", "red", "yellow", "grey"), superpose=TRUE)

            ##################### II) Sample: plot zoom-in mass spectrum #######

        #if $pixel_conditional.zoomed_sample:
            #for $token in $pixel_conditional.zoomed_sample:

                minmasspixel = features(msidata, mz=$token.xlimmin)
                maxmasspixel = features(msidata, mz=$token.xlimmax)
                plot(msidata[minmasspixel:maxmasspixel,], pixel=1:ncol(msidata),  xlim= c($token.xlimmin,$token.xlimmax),pixel.groups=pData(msidata)\$sample, key=TRUE,col=c("blue", "orange", "green", "red", "yellow", "grey"), superpose=TRUE)

            #end for
        #end if

        pixeldf = data.frame(table(pData(msidata)\$sample))
        colnames(pixeldf) = c("sample name", "number of pixels")

    #end if

    plot(0,type='n',axes=FALSE,ann=FALSE)
    title(main="Overview of chosen pixel:")
    grid.table(pixeldf, rows= NULL)

    dev.off()


}else{
    print("Inputfile has no intensities > 0")
    dev.off()
}
    ]]></configfile>
    </configfiles>
    <inputs>
        <param name="infile" type="data" format="imzml,rdata,analyze75" label="Inputfile as imzML, Analyze7.5 or Cardinal MSImageSet saved as RData"
            help="Upload composite datatype imzml (ibd+imzML) or analyze75 (hdr+img+t2m) or regular upload .RData (Cardinal MSImageSet)"/>
        <conditional name="pixel_conditional">
            <param name="pixel_type" type="select" label="Select if you want to plot the mass spectrum of a single pixel or of all pixels of a sample">
                <option value="single_pixel" selected="True">Single pixel</option>
                <option value="sample_pixel">All pixels of a sample</option>
            </param>
            <when value="single_pixel">
                <repeat name="repeatpixel" title="Plot mass spectra for pixel of interest" min="1" max="20">
                    <param name="inputx" type="integer" value="" label="x-coordinate of pixel of interest" help="x-value of the pixel of interest"/>
                    <param name="inputy" type="integer" value="" label="y-coordinate of pixel of interest" help="y-value of the pixel of interest"/>
                    <param name="inputmz" type="float" value="1296.7" label="Next parameters are to control heatmap image which will be plotted, here mz in Dalton" help="mz will be displayed as heatmap and the pixel of interest will be visualized by the intersection of two lines"/>
                    <param name="plusminusinDalton" value="0.25" type="float" label="mass range for this mz value" help="plusminus mass window in Dalton"/>
                    <param name="inputcolour" type="select" label="select the colour for the lines at x and y position">
                        <option value="white" selected="True">white</option>
                        <option value="black">black</option>
                        <option value="grey">grey</option>
                        <option value="blue">blue</option>
                        <option value="red">red</option>
                        <option value="green">green</option>
                    </param>
                    <param name="inputtype" type="select" label="select the line type for the lines at x and y position">
                        <option value="solid" selected="True">solid</option>
                        <option value="dashed">dashed</option>
                        <option value="dotted">dotted</option>
                        <option value="longdash">longdash</option>
                    </param>
                    <param name="inputwidth" type="integer" value="2" label="select the width of the lines at x and y position"/>
                    <repeat name="zoomedplot" title="Zoomed in plots with mz min and mz max to define the plot window" min="0" max="50">
                        <param name="xlimmin" type="integer" value="" label="lower boundary in Dalton for plotting window" help="minimum mz for zoomed in window"/>
                        <param name="xlimmax" type="integer" value="" label="upper boundary in Dalton for plotting window" help="maximum mz for zoomed in window"/>
                    </repeat>
                </repeat>
            </when>
            <when value="sample_pixel">
                <repeat name="zoomed_sample" title="Zoomed in plots with mz min and mz max to define the plot window" min="0" max="50">
                    <param name="xlimmin" type="integer" value="" label="lower boundary in Dalton for plotting window" help="minimum mz for zoomed in window"/>
                    <param name="xlimmax" type="integer" value="" label="upper boundary in Dalton for plotting window" help="maximum mz for zoomed in window"/>
                </repeat>
            </when>
        </conditional>
    </inputs>
    <outputs>
        <data format="pdf" name="plots" from_work_dir="mzplots.pdf" label = "${tool.name} ${on_string}"/>
    </outputs>
    <tests>
        <test>
            <param name="infile" value="" ftype="imzml">
                <composite_data value="Example_Continuous.imzML"/>
                <composite_data value="Example_Continuous.ibd"/>
            </param>
            <conditional name="pixel_conditional">
                <param name="pixel_type" value="single_pixel"/>
                    <repeat name="repeatpixel">
                        <param name="plusminusinDalton" value="0.25"/>
                        <param name="inputx" value="3"/>
                        <param name="inputy" value="3"/>
                        <repeat name="zoomedplot">
                            <param name="xlimmin" value="550"/>
                            <param name="xlimmax" value="555"/>
                        </repeat>
                        <repeat name="zoomedplot">
                            <param name="xlimmin" value="750"/>
                            <param name="xlimmax" value="800"/>
                        </repeat>
                        <repeat name="zoomedplot">
                            <param name="xlimmin" value="400"/>
                            <param name="xlimmax" value="420"/>
                        </repeat>
                    </repeat>
                    <repeat name="repeatpixel">
                        <param name="plusminusinDalton" value="0.25"/>
                        <param name="inputx" value="2"/>
                        <param name="inputy" value="2"/>
                    </repeat>
                    <repeat name="repeatpixel">
                        <param name="plusminusinDalton" value="0.25"/>
                        <param name="inputx" value="1"/>
                        <param name="inputy" value="1"/>
                    </repeat>
                </conditional>
            <output name="plots" file="Plot_imzml.pdf" compare="sim_size" delta="20000"/>
        </test>
        <test>
            <param name="infile" value="" ftype="analyze75">
                <composite_data value="Analyze75.hdr"/>
                <composite_data value="Analyze75.img"/>
                <composite_data value="Analyze75.t2m"/>
            </param>
            <conditional name="pixel_conditional">
                <param name="pixel_type" value="single_pixel"/>
                    <repeat name="repeatpixel">
                        <param name="plusminusinDalton" value="0.25"/>
                        <param name="inputx" value="5"/>
                        <param name="inputy" value="2"/>
                        <repeat name="zoomedplot">
                            <param name="xlimmin" value="840"/>
                            <param name="xlimmax" value="850"/>
                        </repeat>
                    </repeat>
                    <repeat name="repeatpixel">
                        <param name="plusminusinDalton" value="0.25"/>
                        <param name="inputx" value="2"/>
                        <param name="inputy" value="2"/>
                    </repeat>
                </conditional>
            <output name="plots" file="Plot_analyze75.pdf" compare="sim_size" delta="20000"/>
        </test>
        <test>
            <param name="infile" value="123_combined.rdata" ftype="rdata"/>
            <conditional name="pixel_conditional">
                <param name="pixel_type" value="sample_pixel"/>
                    <repeat name="zoomed_sample">
                         <param name="xlimmin" value="350"/>
                         <param name="xlimmax" value="360"/>
                     </repeat>
                </conditional>
            <output name="plots" file="Plot_rdata.pdf" compare="sim_size" delta="20000"/>
        </test>
        <test>
            <param name="infile" value="empty_spectra.rdata" ftype="rdata"/>
            <param name="plusminusinDalton" value="0.1"/>
            <param name="inputx" value="1"/>
            <param name="inputy" value="1"/>
            <repeat name="repeatpixel">
                <param name="plusminusinDalton" value="0.25"/>
                <param name="inputx" value="2"/>
                <param name="inputy" value="2"/>
               <repeat name="zoomedplot">
                    <param name="xlimmin" value="1000"/>
                    <param name="xlimmax" value="1050"/>
                </repeat>
            </repeat>
            <output name="plots" file="Plot_empty_spectra.pdf" compare="sim_size" delta="20000"/>
        </test>
    </tests>
    <help><![CDATA[

Cardinal is an R package that implements statistical & computational tools for analyzing mass spectrometry imaging datasets. `More information on Cardinal <http://cardinalmsi.org//>`_

This tool uses the Cardinal plot function to generate (zoomed in) mass spectra plots of mass-spectrometry imaging data.

Input data: 3 types of input data can be used:

- imzml file (upload imzml and ibd file via the "composite" function) `Introduction to the imzml format <https://ms-imaging.org/wp/imzml/>`_
- Analyze7.5 (upload hdr, img and t2m file via the "composite" function)
- Cardinal "MSImageSet" data (with variable name "msidata", saved as .RData)

Options:

- "single pixel": Returns a full mass-spectrum plot for one pixel, which is defined by its x- and y-coordinates

    - Enter the x and y coordinates of your pixel of interest
    - To have a visual control for the selected pixel, a heatmap of a mass of interest will be drawn. Two intersecting lines will show the pixel location. This procedure requires an mass of interest together with a mass range and for the lines the colour and type.
    - Additionally zoom into mass-spectra plots is possible by providing the minimum and maximum mass value to define the limits of the plot
- "All pixels of a sample": Returns a full average mass-spectrum plot with different colours for each subfile

    - This option only works on files that have previosly been combined in the combine tool
    - Additionally zoom into mass-spectra plots is possible by providing the minimum and maximum mass value to define the limits of the plot

Output:

- Pdf with the selected mass-spectra plots and additional control plots

Tip: 

- Corresponding peaklists with masses and their intensities can be obtained with the filtering tool option "ranges for x and y"


]]>
    </help>
    <citations>
        <citation type="doi">10.1093/bioinformatics/btv146</citation>
    </citations>
</tool>