Mercurial > repos > petr-novak > re_utils
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author | petr-novak |
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date | Fri, 16 Feb 2024 15:22:21 +0000 |
parents | 58807b35777a |
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<tool id="plot_comparative" name="Visualization of comparative clustering" version="1.0.0.3"> <description>Simple utility to create visualization of RepeatExplorer conmparative analysis </description> <requirements> <requirement type="package">r-optparse</requirement> </requirements> <required_files> <include type="literal" path="plot_comparative_clustering_summary.R"/> </required_files> <command detect_errors="exit_code"> Rscript '$__tool_directory__'/plot_comparative_clustering_summary.R --cluster_table=$cluster_table --comparative_counts=$counts --number_of_colors=$number_of_colors --output=$outpdf $nuclear_only #if $normalization.use_genome_size: --genome_size $normalization.genome_size_table #end if </command> <inputs> <param format="txt" type="data" name="cluster_table" label="file from RepeatExplorer2 clustering - CLUSTER_TABLE.csv"/> <param format="txt" type="data" name="counts" label="file from RepeatExplorer2 output - COMPARATIVE_ANALYSIS_COUNTS.csv"/> <param value="10" min="2" max="20" type="integer" name="number_of_colors" label="Maximum number of color used for plottting"/> <param value="false" type="boolean" truevalue="--nuclear_only" falsevalue="" name="nuclear_only" label="Remove all non-nuclear sequences (organel and contamination)"/> <conditional name="normalization"> <param name="use_genome_size" type="boolean" checked="False" label="Normalize to genome size" help="Note that if this option is used, non-nuclear sequences are always removed."/> <when value="false"> <!-- pass --> </when> <when value="true"> <param name="genome_size_table" type="data" format="txt" label="table with genome sizes"/> </when> </conditional> </inputs> <outputs> <data format="pdf" name="outpdf" label="Comparative analysis summary"/> </outputs> <help> **Visualization of comparative clustering** Visualization can be created two output files from RepeatExplorer pipeline. Input file CLUSTER_TABLE.csv contains automatic annotation, information about cluster sizes and the total number of reads used for analysis Example of CLUSTER_TABLE.csv: :: "Number_of_reads_in_clusters" 3002 "Number_of_clusters" 895 "Number_of_superclusters" 895 "Number_of_singlets" 6998 "Number_of_analyzed_reads" 10000 "Cluster" "Supercluster" "Size" "Size_adjusted" "Automatic_annotation" "TAREAN_classification" "Final_annotation" 1 1 61 61 "All" "Other" 2 2 59 59 "All/repeat/satellite" "Putative satellites (high confidence)" 3 3 45 45 "All/repeat/satellite" "Putative satellites (low confidence)" 4 4 38 38 "All" "Other" 5 5 32 32 "All" "Other" 6 6 28 28 "All" "Other" 7 7 25 25 "All" "Other" 8 8 24 24 "All" "Other" 9 9 23 23 "All" "Other" 10 10 22 22 "All/repeat/mobile_element/Class_I/LTR/Ty3_gypsy/non-chromovirus/OTA/Tat/Ogre" "Other" 11 11 20 20 "All" "Other" 12 12 20 20 "All" "Other" </help> </tool>