annotate raceid_trajectory.xml @ 7:e93b008c637a draft

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/raceid3 commit b461ba94158cf4cc793919470b78bd3eb91312eb"
author iuc
date Thu, 02 Dec 2021 16:21:47 +0000
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1 <tool id="raceid_trajectory" name="Lineage computation using StemID" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" >
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2 <description>generates lineage from prior clustering</description>
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3 <macros>
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4 <import>macros.xml</import>
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5 <import>macros_cheetah.xml</import>
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6 </macros>
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7 <expand macro="requirements" />
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8 <expand macro="version_command_config" prog="pseudotemporal.R" cheetah="TRAJECTORY_CHEETAH" />
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10 <inputs>
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11 <param name="inputrds" type="data" format="rdata" label="Input RDS" help="This is the output RData file given by the Cluster stage" />
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12 <section name="projcell" title="Compute transcriptome entropy of each cell" expanded="true" >
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13 <param name="knn" type="integer" min="0" value="3" label="KNN" help="Number of nearest neighbours to consider." />
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14 <param name="cthr" type="integer" min="0" value="5" label="Cluster Threshold" help="Clusters to be included in the StemID analysis must have more than this number of cells" />
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15 <expand macro="use_defaults_no" >
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16 <param name="nmode" type="boolean" checked="true" label="Neighbour Mode" help="Assign a cell of a given cluster to the cluster with the smallest average distance of the knn nearest neighbours within this cluster." />
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17 <param name="fr" type="boolean" checked="false" label="F-R layout?" help="Use Fruchterman-Rheigold layout instead of t-SNE" />
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18 </expand>
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19 </section>
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20 <section name="projback" title="Compute Cell Projections for Randomized Background Distribution" expanded="true" >
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21 <param name="pdishuf" type="integer" min="100" value="2000" label="Shuffle Projections" help="Number of randomizations of cell positions for which to compute projections of cells on inter-cluster links" />
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22 <expand macro="use_defaults_no" >
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23 <param name="fast" type="boolean" checked="false" label="Use a fast approximate background model to infer links" />
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24 <param name="rseed" type="integer" value="17000" label="Random seed" />
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25 </expand>
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26 </section>
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27 <section name="comppval" title="Computing P-values for Link Significance" expanded="true" >
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28 <param name="pthr" type="float" value="0.01" label="P-value cutoff" help="Cutoff for link significance. This threshold is applied for the calculation of link scores reflecting how uniformly a link is occupied by cells." />
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29 <param name="sensitive" type="boolean" checked="false" label="Sensitivity" help="All cells on the most highly significant link are and the link itself are disregard to test significance of the remaining links with a binomial p-value" />
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30 </section>
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31 <section name="plotgraph" title="StemID2 Lineage Graph" expanded="true" >
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32 <param name="showcells" type="boolean" checked="false" label="Show Cells" help="Projections of cells are shown in the plot" />
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33 <param name="scthr" type="float" min="0" max="1" value="0" label="Score Threshold" help="Score threshold for links to be shown in the graph" />
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34 <expand macro="use_defaults_no">
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35 <!-- <param name="showtsne" type="boolean" checked="true" label="Show tSNE" help="Show transparent t-SNE map of cells in the background" /> -->
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36 <param name="tp" type="float" min="0" max="1" value="0.5" label="Transparency" help="Level of transparency of t-SNE map" />
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37 </expand>
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38 </section>
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39 <section name="compscore" title="Compute StemID2 score" expanded="true" >
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40 <param name="nn" type="integer" min="0" value="1" label="Number of Neighbours" help="Number of higher order neighbours to be included for the determination of links" />
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41 <param name="scthr" type="float" min="0" max="1" value="0" label="Score Threshold" help="Score threshold for links to be included in the calculation" />
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42 </section>
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43 <param name="use_log" type="boolean" checked="false" label="Output Log?" />
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44 </inputs>
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45 <outputs>
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46 <data name="outpdf" format="pdf" label="${tool.name} on ${on_string}: PDF Report" />
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47 <data name="outrdat" format="rdata" label="${tool.name} on ${on_string}: RDS" />
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48 <data name="outlog" format="txt" label="${tool.name} on ${on_string}: Log" >
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49 <filter>use_log</filter>
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50 </data>
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51 </outputs>
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52 <tests>
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53 <test>
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54 <!-- All defaults -->
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55 <param name="inputrds" value="out_cluster_default.rdat" />
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56 <output name="outpdf" value="out_traject_default.pdf" compare="sim_size" delta="15" />
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57 <output name="outrdat" value="out_traject_default.ltree.rdat" compare="sim_size" delta="500" />
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58 </test>
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59 <test>
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60 <!-- Manually specify the defaults: should ideally give same output as above test -->
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61 <param name="inputrds" value="out_cluster_default.rdat" />
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62 <section name="projcell" >
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63 <param name="knn" value="3" />
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64 <param name="cthr" value="5" />
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65 <expand macro="test_nondef" >
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66 <param name="nmode" value="true" />
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67 <param name="fr" value="false" />
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68 </expand>
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69 </section>
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70 <section name="projback" >
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71 <param name="pdishuf" value="2000" />
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72 <expand macro="test_nondef" >
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73 <param name="fast" value="false" />
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74 <param name="rseed" value="17000" />
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75 </expand>
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76 </section>
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77 <section name="comppval" >
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78 <param name="pthr" value="0.01" />
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79 <param name="sensitive" value="false" />
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80 </section>
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81 <section name="plotgraph" >
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82 <param name="showcells" value="false" />
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83 <param name="scthr" value="0" />
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84 <expand macro="test_nondef" >
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85 <!-- <param name="showtsne" value="true" /> -->
4
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86 <param name="tp" value="0.5" />
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87 </expand>
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88 </section>
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89 <section name="compscore" >
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90 <param name="nn" value="1" />
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91 <param name="scthr" value="0" />
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92 </section>
6
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93 <output name="outpdf" value="out_traject_default.pdf" compare="sim_size" delta="500" />
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94 <output name="outrdat" value="out_traject_default.ltree.rdat" compare="sim_size" delta="500" />
4
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95 </test>
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96 <test>
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97 <!-- Non-defaults -->
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98 <param name="inputrds" value="out_cluster_default.rdat" />
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99 <section name="projcell">
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100 <param name="knn" value="4" />
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101 <param name="cthr" value="4" />
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102 <expand macro="test_nondef" >
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103 <param name="nmode" value="false" />
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104 <param name="fr" value="true" />
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105 </expand>
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106 </section>
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107 <section name="projback">
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108 <param name="pdishuf" value="1500" />
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109 <expand macro="test_nondef" >
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110 <param name="fast" value="true" />
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111 <param name="rseed" value="1500" />
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112 </expand>
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113 </section>
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114 <section name="comppval">
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115 <param name="pthr" value="0.05" />
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116 <param name="sensitive" value="true" />
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117 </section>
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118 <section name="plotgraph">
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119 <param name="showcells" value="true" />
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120 <param name="scthr" value="0.5" />
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121 <expand macro="test_nondef" >
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122 <!-- <param name="showtsne" value="false" /> -->
4
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123 <param name="tp" value="0.25" />
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124 </expand>
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125 </section>
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126 <section name="compscore">
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127 <param name="nn" value="2" />
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128 <param name="scthr" value="0.5" />
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129 </section>
6
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130 <output name="outpdf" value="out_traject_adv_nondef.pdf" compare="sim_size" delta="500" />
4
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131 </test>
0
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132 </tests>
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133 <help><![CDATA[
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134 StemID2
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135 =========
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136
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137 StemID is an algorithm for the inference of lineage trees and differentiation trajectories based on pseudo-temporal ordering of single-cell transcriptomes. It utilizies the clusters predicted by RaceID clustering tool.
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138
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139 In a nutshell, StemID infers links between clusters which are more populated with intermediate single-cell transcriptomes than expected by chance.
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140
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141 This will generate an RDS object, and a PDF showing a minimal spanning tree between the clusters, with the strength between clusters given by the colour and thickness of the branches.
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142
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143
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144 ]]></help>
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145 <expand macro="citations" />
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146 </tool>
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147