Mercurial > repos > haydensun > manorm
view manorm.xml @ 2:30cdbc4faefa draft default tip
Update galaxy tool to v1.0.1
author | haydensun |
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date | Wed, 24 Jan 2018 02:42:53 -0500 |
parents | 9cd4a30cb4f8 |
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<tool id="manorm" name="MAnorm" version="1.0.1"> <description>Quantitative comparison of ChIP-Seq samples</description> <requirements> <requirement type="package" version="1.1.3">manorm</requirement> </requirements> <command detect_errors="exit_code"><![CDATA[ manorm --p1 $p1 --p2 $p2 --r1 $r1 --r2 $r2 $s --name1 sample1 --name2 sample2 -o output_dir #if $s1 --s1 $s1 #end if #if $s2 --s2 $s2 #end if #if $settings.advanced == "on" #if $settings.w -w $settings.w #end if #if $settings.d -d $settings.d #end if #if $settings.n -n $settings.n #end if #end if #if $m -m $m #end if #if $p -p $p #end if ]]></command> <inputs> <param argument="--p1" type="data" format="tabular,bed" label="Peaks file of sample 1" /> <param argument="--p2" type="data" format="tabular,bed" label="Peaks file of sample 2" /> <param argument="--r1" type="data" format="bed" label="Reads file of sample 1" /> <param argument="--r2" type="data" format="bed" label="Reads file of sample 2" /> <param argument="--s1" type="integer" value="100" optional="true" label="Reads shift size of sample 1" help="This value is used to shift reads towards 3' direction to determine the precise binding site. Set as half of the fragment length." /> <param argument="--s2" type="integer" value="100" optional="true" label="Reads shift size of sample 2" help="Same as 'Reads shift size of sample 1'" /> <param argument="-m" type="float" value="1.0" optional="true" label="M-value (log2 fold change) cutoff" /> <param argument="-p" type="float" value="0.01" optional="true" label="P-value cutoff" /> <conditional name="settings"> <param name="advanced" type="select" label="Show advanced options"> <option value="on">Yes, show advanced options.</option> <option value="off" selected="true">No</option> </param> <when value="on"> <param argument="-w" type="integer" value="1000" optional="true" label="Width of the window to calculate read densities" help="Windows with unified length of 2*width centered at peak summit/midpoint are used to quantify the binding signal. This should match the typical length of peaks, a value of 1000 is recommended for sharp histone marks like H3K4me3 and H3K9/27ac, and 500 for transcription factors or DNase-Seq." /> <param argument="-d" type="integer" value="500" optional="true" label="Summit-to-summit distance cutoff for common peaks" help="Only overlapped peaks with summit-to-summit distance less than than this value are considered as real common peaks of two samples when fitting M-A normalization model." /> <param argument="-n" type="integer" value="10" optional="true" label="Number of simulation to test the enrichment of peak overlap between two samples" /> </when> <when value="off"> </when> </conditional> <param argument="-s" type="boolean" truevalue="-s" falsevalue="" optional="true" label="Full output" help="By default, MAnorm will write the comparison results of unique and merged common peaks in a single output file. With this option on, two extra files which contains the results of the original(unmerged) peaks will also be outputted." /> </inputs> <outputs> <data name="main_output" format="tabular" label="MAnorm (main result)" from_work_dir="output_dir/sample1_vs_sample2_all_MAvalues.xls" /> <data name="sample1_output" format="tabular" label="MAnorm (sample1 result)" from_work_dir="output_dir/sample1_MAvalues.xls"> <filter>s == True</filter> </data> <data name="sample2_output" format="tabular" label="MAnorm (sample2 result)" from_work_dir="output_dir/sample2_MAvalues.xls"> <filter>s == True</filter> </data> <data name="sample1_biased_peaks" format="bed" label="MAnorm (sample1 biased peaks)" from_work_dir="output_dir/output_filters/sample1_M_above_*_biased_peaks.bed" /> <data name="sample2_biased_peaks" format="bed" label="MAnorm (sample2 biased peaks)" from_work_dir="output_dir/output_filters/sample2_M_below_*_biased_peaks.bed" /> <data name="unbiased_peaks" format="bed" label="MAnorm (unbiased peaks)" from_work_dir="output_dir/output_filters/sample1_vs_sample2_unbiased_peaks.bed" /> <data name="m_value_track" format="wig" label="MAnorm (M values track)" from_work_dir="output_dir/output_tracks/sample1_vs_sample2_M_values.wig" /> <data name="a_value_track" format="wig" label="MAnorm (A values track)" from_work_dir="output_dir/output_tracks/sample1_vs_sample2_A_values.wig" /> <data name="p_value_track" format="wig" label="MAnorm (P values track)" from_work_dir="output_dir/output_tracks/sample1_vs_sample2_P_values.wig" /> <data name="ma_plot_before" format="png" label="MAnorm (MA plot before normalization)" from_work_dir="output_dir/output_figures/sample1_vs_sample2_MA_plot_before_normalization.png" /> <data name="ma_plot_after" format="png" label="MAnorm (MA plot after normalization)" from_work_dir="output_dir/output_figures/sample1_vs_sample2_MA_plot_after_normalization.png" /> <data name="ma_plot_with_p_value" format="png" label="MAnorm (MA plot with P values)" from_work_dir="output_dir/output_figures/sample1_vs_sample2_MA_plot_with_P-value.png" /> <data name="read_density_plot" format="png" label="MAnorm (Read density plot)" from_work_dir="output_dir/output_figures/sample1_vs_sample2_read_density_on_common_peaks.png" /> </outputs> <tests> <test> <param name="p1" value="H1hescH3k4me3Rep1_peaks.xls" ftype="tabular" /> <param name="p2" value="K562H3k4me3Rep1_peaks.xls" ftype="tabular" /> <param name="r1" value="H1hescH3k4me3Rep1_reads.bed" ftype="bed" /> <param name="r2" value="K562H3k4me3Rep1_reads.bed" ftype="bed" /> <param name="s1" value="100" /> <param name="s2" value="100" /> <output name="main_output" file="H1_vs_K562_H3K4me3_all_MAvalues.xls"/> </test> </tests> <help><![CDATA[ What it does? ------------- MAnorm is a robust model for quantitative comparison of ChIP-Seq data sets. It uses the common peaks between two samples to fit a rescaling model for normalization and infers the binding difference in all peak regions. Workflow of MAnorm: - Classify peaks from given samples into unique/common peaks - Take common peaks to fit a robust linear model to reflect the rescaling relationship between two samples - Normalize all peaks with the fitted model - Infer differential binding events by M-value (log2 fold change) Documentation ------------- To see the full documentation of MAnorm, please refer to: http://manorm.readthedocs.io/en/latest/ Links ----- The Python version of MAnorm is developed by ShaoLab_ at `CAS-MPG Partner Institute for Computational Biology, SIBS, CAS`_. GitHub: https://github.com/shao-lab/MAnorm .. _ShaoLab: http://bioinfo.sibs.ac.cn/shaolab/ .. _CAS-MPG Partner Institute for Computational Biology, SIBS, CAS: http://www.picb.ac.cn/picb/indexeng.jsp ]]></help> <citations> <citation type="doi">10.1186/gb-2012-13-3-r16</citation> </citations> </tool>