Mercurial > repos > xuebing > sharplabtool
view tools/plotting/boxplot.xml @ 0:9071e359b9a3
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author | xuebing |
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date | Fri, 09 Mar 2012 19:37:19 -0500 |
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<tool id="qual_stats_boxplot" name="Boxplot" version="1.0.0"> <description>of quality statistics</description> <command>gnuplot < '$gnuplot_commands' 2>&1 || echo "Error running gnuplot." >&2</command> <requirements> <requirement type="binary" version="gnuplot 4.2 patchlevel 2">gnuplot</requirement> </requirements> <inputs> <param name="input_file" type="data" format="tabular" label="Quality Statistics File"/> <param name="title" type="text" value="Box plot in Galaxy" label="Title for plot" size="50"/> <param name="graph_size" type="text" value="2048,768" label="Dimensions of Graph"/> <param name="xlabel" type="text" value="X Axis Label" label="X axis label" size="50"/> <param name="ylabel" type="text" value="Score Value" label="Y axis label" size="50"/> <param name="xcol" type="data_column" data_ref="input_file" label="Column for X axis position" default_value="1" help="A unique number; c1 if plotting output of FASTQ summary"/> <param name="q1col" type="data_column" data_ref="input_file" label="Column for Q1" default_value="7" help="c7 if plotting output of FASTQ summary"/> <param name="medcol" type="data_column" data_ref="input_file" label="Column for Median" default_value="8" help="c8 if plotting output of FASTQ summary"/> <param name="q3col" type="data_column" data_ref="input_file" label="Column for Q3" default_value="9" help="c9 if plotting output of FASTQ summary"/> <param name="lwcol" type="data_column" data_ref="input_file" label="Column for left whisker" default_value="11" help="c11 if plotting output of FASTQ summary"/> <param name="rwcol" type="data_column" data_ref="input_file" label="Column for right whisker" default_value="12" help="c12 if plotting output of FASTQ summary"/> <conditional name="use_outliers"> <param name="use_outliers_type" type="select" label="Plot Outliers"> <option value="use_outliers" selected="true">Plot Outliers</option> <option value="dont_use_outliers">Don't Plot Outliers</option> </param> <when value="use_outliers"> <param name="outliercol" type="data_column" data_ref="input_file" label="Column for Outliers" default_value="13" help="c13 if plotting output of FASTQ summary"/> </when> <when value="dont_use_outliers"> </when> </conditional> </inputs> <configfiles> <configfile name="gnuplot_commands"> set output '$output_file' set term png size ${graph_size} set boxwidth 0.8 set key right tmargin set xlabel "${xlabel}" set ylabel "${ylabel}" set title "${title}" set xtics 1 set ytics 1 set grid ytics set offsets 1, 1, 1, 1 plot '${input_file}' using ${xcol}:${q1col}:${lwcol}:${rwcol}:${q3col} with candlesticks lt 1 lw 1 title 'Quartiles' whiskerbars, \ '' using ${xcol}:${medcol}:${medcol}:${medcol}:${medcol} with candlesticks lt -1 lw 2 title 'Medians'\ #if str( $use_outliers['use_outliers_type'] ) == 'use_outliers': , "< python -c \"for xval, yvals in [ ( fields[${xcol} - 1], fields[${use_outliers['outliercol']} - 1].split( ',' ) ) for fields in [ line.rstrip( '\\n\\r' ).split( '\\t' ) for line in open( '${input_file}' ) if not line.startswith( '#' ) ] if len( fields ) > max( ${xcol} - 1, ${use_outliers['outliercol']} - 1 ) ]: print '\\n'.join( [ '%s\\t%s' % ( xval, yval ) for yval in yvals if yval ] )\"" using 1:2 with points pt 29 title 'Outliers' #end if </configfile> </configfiles> <outputs> <data name="output_file" format="png" /> </outputs> <tests> <test> <param name="input_file" value="fastq_stats_1_out.tabular" ftype="tabular" /> <param name="title" value="Boxplot of Summary Statistics for Sanger Reads" /> <param name="graph_size" value="2048,768" /> <param name="xlabel" value="Read Column" /> <param name="ylabel" value="Quality Score Value" /> <param name="xcol" value="1" /> <param name="q1col" value="7" /> <param name="medcol" value="8" /> <param name="q3col" value="9" /> <param name="lwcol" value="11" /> <param name="rwcol" value="12" /> <param name="use_outliers_type" value="use_outliers" /> <param name="outliercol" value="13" /> <output name="output_file" file="boxplot_summary_statistics_out.png" /> </test> </tests> <help> **What it does** Creates a boxplot graph. Its main purpose is to display a distribution of quality scores produced by *NGS: QC and maniupulation -> FASTQ Summary Statistics* tool. .. class:: warningmark **TIP:** If you want to display a distribution of quality scores produced by *NGS: QC and maniupulation -> FASTQ Summary Statistics* and the column assignments within the tool's interface are not automatically set (they will all read "c1" in that case) set columns manually to the following values:: Column for X axis c1 Column for Q1 c7 Column for Median c8 Column for Q3 c9 Column for left whisker c11 Column for right whisker c12 Column for Outliers c13 ----- **Output Example** * Black horizontal lines are medians * Rectangular red boxes show the Inter-quartile Range (IQR) (top value is Q3, bottom value is Q1) * Whiskers show outliers at max. 1.5*IQR .. image:: ./static/images/solid_qual.png </help> </tool>