Mercurial > repos > bgruening > deeptools_plot_heatmap
view plotHeatmap.xml @ 24:cd71eb4f0460 draft
planemo upload for repository https://github.com/fidelram/deepTools/tree/master/galaxy/wrapper/ commit 2c5f94de9ddf6798e49b7e9c340c841ca2bfbcfe
author | bgruening |
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date | Mon, 19 Sep 2016 17:09:18 -0400 |
parents | 671b777fde9a |
children | b3016f2736d2 |
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<tool id="deeptools_plot_heatmap" name="plotHeatmap" version="@WRAPPER_VERSION@.0"> <description>creates a heatmap for score distributions across genomic regions</description> <macros> <token name="@BINARY@">plotHeatmap</token> <import>deepTools_macros.xml</import> </macros> <expand macro="requirements"/> <command> <![CDATA[ @BINARY@ --matrixFile "$matrixFile" --outFileName "$outFileName" #if $output.showOutputSettings == "yes" --plotFileFormat "$output.outFileFormat" #if $outFileNameMatrix: --outFileNameMatrix "$outFileNameMatrix" #end if #if $outFileSortedRegions: --outFileSortedRegions "$outFileSortedRegions" #end if #if $output.dpi: --dpi "$output.dpi" #end if #else --plotFileFormat 'png' #end if #if $advancedOpt.showAdvancedOpt == "yes" #if $advancedOpt.sortRegions: --sortRegions '$advancedOpt.sortRegions' #end if #if $advancedOpt.sortUsing: --sortUsing '$advancedOpt.sortUsing' #end if #if $advancedOpt.averageTypeSummaryPlot: --averageTypeSummaryPlot '$advancedOpt.averageTypeSummaryPlot' #end if #if str($advancedOpt.missingDataColor.value) != "None": --missingDataColor '$advancedOpt.missingDataColor' #end if #if str($advancedOpt.colorMap).strip() != "": --colorMap #echo " ".join(str($advancedOpt.colorMap).strip().split(","))# #end if --alpha '$advancedOpt.alpha' #if str($advancedOpt.colorList).strip() != "": --colorList $advancedOpt.colorList #end if #if str($advancedOpt.zMin).strip() != "": --zMin $advancedOpt.zMin #end if #if str($advancedOpt.zMax).strip() != "": --zMax $advancedOpt.zMax #end if #if str($advancedOpt.yMin).strip() != "": --yMin $advancedOpt.yMin #end if #if $advancedOpt.yMax: --yMax $advancedOpt.yMax #end if --xAxisLabel '$advancedOpt.xAxisLabel' --yAxisLabel '$advancedOpt.yAxisLabel' --heatmapWidth $advancedOpt.heatmapWidth --heatmapHeight $advancedOpt.heatmapHeight --whatToShow '$advancedOpt.whatToShow' --startLabel '$advancedOpt.startLabel' --endLabel '$advancedOpt.endLabel' --refPointLabel '$advancedOpt.referencePointLabel' #if $advancedOpt.samplesLabel and str($advancedOpt.samplesLabel).strip() != "": --samplesLabel $advancedOpt.samplesLabel #end if #if $advancedOpt.regionsLabel and str($advancedOpt.regionsLabel).strip() != "": --regionsLabel $advancedOpt.regionsLabel #end if #if $advancedOpt.plotTitle and str($advancedOpt.plotTitle.value) != "": --plotTitle '$advancedOpt.plotTitle' #end if $advancedOpt.perGroup @KMEANS_CLUSTERING@ #end if ]]> </command> <inputs> <param argument="matrixFile" format="deeptools_compute_matrix_archive" type="data" label="Matrix file from the computeMatrix tool" help=""/> <expand macro="input_graphic_output_settings"> <expand macro="input_image_file_format" /> <expand macro="output_dpi" /> <expand macro="input_save_matrix_values" /> </expand> <conditional name="advancedOpt" > <param name="showAdvancedOpt" type="select" label="Show advanced options" > <option value="no" selected="true">no</option> <option value="yes">yes</option> </param> <when value="no" /> <when value="yes"> <expand macro="sortRegions" /> <expand macro="sortUsing" /> <param argument="--averageTypeSummaryPlot" type="select" label="Type of statistic that should be plotted in the summary image above the heatmap" help=""> <option value="mean" selected="true">mean</option> <option value="median">median</option> <option value="min">min</option> <option value="max">max</option> <option value="sum">sum</option> <option value="std">std</option> </param> <param argument="--missingDataColor" type="text" value="black" optional="true" label="Missing data color" help="If 'Represent missing data as zero' is not set, such cases will be colored in black by default. By using this parameter a different color can be set. A value between 0 and 1 will be used for a gray scale (black is 0). Also color names can be used, see a list here: http://packages.python.org/ete2/reference/reference_svgcolors.html. Alternatively colors can be specified using the #rrggbb notation." /> <expand macro="colorMap" /> <param argument="--alpha" type="float" value="1.0" min="0.0" max="1.0" optional="True" label="Alpha channel (transparency)" help="The alpha channel (transparency) to use for the heatmaps. The default is 1.0 and values must be between 0 and 1. A value of 0.0 would be fully transparent." /> <param argument="--colorList" type="text" value="" size="50" optional="True" label="List of colors for each heatmap. Separate lists by spaces and the colors in the list by comas" help="The color of the heatmaps can be specified as a list of colors separated by comas with not space in between. For example: white,blue white,green will set a color map from white to blue for the first heatmap and for white to green for the next heatmap."/> <expand macro="zMin_zMax" /> <param argument="--yMin" type="float" value="" size="3" optional="True" label="Minimum value for the Y-axis of the summary plot. Leave empty for automatic values" help=""/> <param argument="--yMax" type="float" value="" size="3" optional="True" label="Maximum value for Y-axis of the summary plot. Leave empty for automatic values" help=""/> <param argument="--xAxisLabel" type="text" value="distance from TSS (bp)" size="200" label="The x-axis label" help="" /> <param argument="--yAxisLabel" type="text" value="genes" size="30" label="The y-axis label for the top panel" help="" /> <param argument="--heatmapWidth" type="float" value="7.5" min="1" max="100" label="Heatmap width in cm" help="The minimum value is 1 and the maximum is 100."/> <param argument="--heatmapHeight" type="float" value="25" min="3" max="100" label="Heatmap height in cm" help="The minimum value is 3 and the maximum is 100."/> <param argument="--whatToShow" type="select" label="What to show" help ="The default is to include a summary or profile plot on top of the heatmap and a heatmap colorbar."> <option value="plot, heatmap and colorbar" selected="true">summary plot, heatmap and colorbar</option> <option value="plot and heatmap">summary plot and heatmap (no colorbar)</option> <option value="heatmap and colorbar">heatmap and colorbar</option> </param> <param argument="--startLabel" type="text" value="TSS" size="10" label="Label for the region start" help ="Only for scale-regions mode. Label shown in the plot for the start of the region. Default is TSS (transcription start site), but could be changed to anything, e.g. "peak start"." /> <param argument="--endLabel" type="text" value="TES" size="10" label="Label for the region end" help="Only for scale-regions mode. Label shown in the plot for the region end. Default is TES (transcription end site)."/> <param argument="--referencePointLabel" type="text" value="TSS" size="10" label="Reference point label" help ="Label shown in the plot for the reference-point. Default is the same as the reference point selected (e.g. TSS), but could be anything, e.g. "peak start" etc." /> <param argument="--samplesLabel" type="text" size="30" label="Labels for the samples (each bigwig) plotted" help="The default is to use the file name of the sample. The sample labels should be separated by spaces and quoted if a label itself contains a space E.g. label-1 "label 2""> <sanitizer> <valid initial="string.printable"> </valid> </sanitizer> </param> <param argument="--regionsLabel" type="text" size="30" label="Labels for the regions plotted in the heatmap" help="If more than one region is being plotted a list of labels separated by space is required. If a label itself contains a space, then quotes are needed. For example, label_1, "label 2"" /> <expand macro="plotTitle" /> <param argument="--perGroup" type="boolean" truevalue="--perGroup" falsevalue="" label="Make one plot per group of regions" help="The default is to make one plot per bigWig file, i.e., all samples next to each other. Choosing this option will make one plot per group of regions."/> <expand macro="kmeans_clustering" /> </when> </conditional> </inputs> <outputs> <expand macro="output_image_file_format" /> <expand macro="output_graphic_outputs" /> <expand macro="output_save_matrix_values" /> </outputs> <tests> <test> <param name="matrixFile" value="computeMatrix_result1.gz" ftype="deeptools_compute_matrix_archive" /> <output name="outFileName" file="heatmapper_result1.png" ftype="png" compare="sim_size" delta="4000" /> </test> <test> <param name="matrixFile" value="computeMatrix_result1.gz" ftype="deeptools_compute_matrix_archive" /> <param name="showAdvancedOpt" value="yes" /> <param name="whatToShow" value="heatmap and colorbar" /> <output name="outFileName" file="heatmapper_result2.png" ftype="png" compare="sim_size" delta="4000" /> </test> </tests> <help> <![CDATA[ What it does -------------- ``plotHeatmap`` visualizes scores associated with genomic regions, for example ChIP enrichment values around the TSS of genes. Like ``plotProfile``, it requires that computeMatrix was run first to calculate the values. We have implemented a number of optional parameters to optimize the visual output and we encourage you to play around with the min/max values displayed in the heatmap as well as with the different coloring options. **TIP:** *If your data is rather sparse and the resulting heatmap is too black, change the "Missing data color" to white (via "Advanced options").* The most powerful option is probably the **k-means/hierarchical clustering** where you can sort your regions into groups of regions with similar score distributions. **NOTE:** *The clustering will only work if you supplied a single BED file to computeMatrix. plotHeatmap cannot cluster regions within pre-defined groups. Moreover, k-means will be much faster than hierarchical clustering.* Output -------------- This is a heatmap based on two bigWig files generated with default settings and k-means clustering. .. image:: $PATH_TO_IMAGES/plotHeatmap_example.png :width: 600 :height: 694 .. image:: $PATH_TO_IMAGES/plotHeatmap_example02.png :width: 600 :height: 694 In addition to the image, ``plotHeatmap`` can also generate the values underlying both the heatmap. See the following table for the optional output options: +-----------------------------------+--------------------+-----------------+-----------------+ | **optional output type** | **computeMatrix** | **plotHeatmap** | **plotProfile** | +-----------------------------------+--------------------+-----------------+-----------------+ | values underlying the heatmap | yes | yes | no | +-----------------------------------+--------------------+-----------------+-----------------+ | values underlying the profile | no | no | yes | +-----------------------------------+--------------------+-----------------+-----------------+ | sorted and/or filtered regions | yes | yes | yes | +-----------------------------------+--------------------+-----------------+-----------------+ **More examples** can be found in our `Gallery <http://deeptools.readthedocs.org/en/latest/content/example_gallery.html#normalized-chip-seq-signals-and-peak-regions>`_. ----- @REFERENCES@ ]]> </help> <expand macro="citations" /> </tool>