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1 <tool id="netisce6" name="Netisce Step 6" version="0.1.0" python_template_version="3.5">
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2 <description>Computes the attractors from perturbations on FVS control nodes</description>
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3
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4 <requirements>
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5 <requirement type="package" version="1.19.5">numpy</requirement>
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6 <requirement type="package" version="1.1.5">pandas</requirement>
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7 <requirement type="package" version="3.5.0">os</requirement>
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8 <requirement type="package" version="1.11.0">networkx</requirement>
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9 <requirement type="package" version="3.5.0">random</requirement>
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10 <requirement type="package" version="3.1.14">sfa</requirement>
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11 <requirement type="package" version="1.0.1">sklearn.preprocessing</requirement>
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12 <requirement type="package" version="3.5.0">csv</requirement>
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13 <requirement type="package" version="3.5.0">sys</requirement>
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14 </requirements>
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15
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16 <command>python3 '$__tool_directory__/bin/SFA_virtscreen.py' '$network' '$expression_data' '$init' '$samples' '$fvs' '$fvs_init'</command>
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17
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18 <inputs>
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19 <param name="network" type="data" format="sif" label="Network"/>
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20 <param name="expression_data" type="data" format="csv" label="Expression Data"/>
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21 <param name="init" type="text" value="resistant" label="Name of Undesired Initial State"/>
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22 <param name="samples" type="data" format="txt" label="Names of all Experimental Samples"/>
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23 <param name="fvs" type="data" format="txt" label="Minimal Feedback Vertex Set"/>
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24 <param name="fvs_init" type="data" format="txt" label="Perturbations of the FVS Set"/>
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25 </inputs>
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26
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27 <outputs>
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28 <data name="output" format="tabular" from_work_dir="pert_logss.txt" label="Attractors when the FVS Set is randomly perturbed"/>
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29 </outputs>
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30
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31 <tests>
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32 <test>
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33 <param name="network" value="network.sif" />
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34 <param name="expression_data" value="expressions.csv" />
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35 <param name="init" value="resistant" />
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36 <param name="samples" value="samples.txt" />
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37 <param name="fvs" value="fvs.txt"/>
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38 <param name="fvs_init" value="init.txt" />
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39 <output name="output" value="pert_logss.tsv" ftype="tsv" />
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40 </test>
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41 </tests>
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42
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43 <help>
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44 This tool computes Computes the attractors from perturbations on FVS control nodes.
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45 Required Inputs:
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46 1. network in sif format (activating edges as "activates", inhibitory edges as "inhibits")
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47 2. normalized expression values for data sample (rows are expressed genes, columns are samples)
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48 3. name of undesired initial state/experimental sample
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49 4. name of all experimental samples of interest
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50 5. minimal Feedback Vertex set of the network
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51 6. randomly generated perturbations of FVS Set
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52 </help>
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53
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54 <citations>
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55 <citation type="doi">10.1038/s41598-019-50790-0</citation>
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56 </citations>
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57
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58 </tool> |