Mercurial > repos > morinlab > oncodrivefm
annotate oncodrivefm.xml @ 3:97e99acadbaf draft default tip
Uploaded
| author | morinlab |
|---|---|
| date | Wed, 30 Nov 2016 13:10:18 -0500 |
| parents | fe65a4d95e7a |
| children |
| rev | line source |
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a9c4c014fc47
planemo upload for repository https://github.com/morinlab/tools-morinlab/tree/master/tools/oncodrivefm commit 4ef2d91b7c1686a2696b92fe538d4aec51d05e40-dirty
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1 <tool id="oncodrivefm" name="OncodriveFM"> |
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2 <description> |
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3 an approach to uncover driver genes or gene modules |
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planemo upload for repository https://github.com/morinlab/tools-morinlab/tree/master/tools/oncodrivefm commit 4ef2d91b7c1686a2696b92fe538d4aec51d05e40-dirty
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4 </description> |
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5 <requirements> |
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6 <requirement type="package" version="2.0.1">requests</requirement> |
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7 <requirement type="package" version="0.6.0">oncodrivefm</requirement> |
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8 </requirements> |
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9 <command detect_errors="aggressive"> |
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10 |
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11 <!-- make directory and name for multiple output --> |
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12 mkdir ./out; |
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13 ln -s $input_maf ./odfm; |
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14 |
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15 <!-- run program with pathway file options --> |
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16 oncodrivefm |
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17 -o ./out |
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18 -N $advancedsettings.samplings |
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19 -e $advancedsettings.estimator |
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20 --gt $advancedsettings.gthreshold |
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21 --pt $advancedsettings.pthreshold |
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22 -s $advancedsettings.slices |
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23 #if $advancedsettings.mapoption.mapfile=="custom": |
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24 -m "${mapoption.mpath}" |
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25 #elif $advancedsettings.mapoption.mapfile=="included_file": |
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26 -m $__tool_directory__/ensg_kegg.tsv |
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27 #end if |
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28 ./odfm; |
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29 |
| 1 | 30 cat ./out/odfm-genes.tsv | grep -v \\# | sort -g -k 3 | awk 'BEGIN {OFS = "\t"}{if ($advancedsettings.qcut > $3 ) print \$1, \$2, \$3; }' >> $out_file1; |
| 31 cat ./out/odfm-pathways.tsv | grep -v \\# | sort -g -k 4 >> $out_file2; | |
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32 |
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33 </command> |
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34 <inputs> |
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35 <param name="input_maf" format="tabular" type="data" label="Input MAF File" /> |
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36 <section name="advancedsettings" title="Advanced Settings" expanded="false"> |
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37 <param name="samplings" type="integer" label="Samplings" help="Number of samplings to compute the FM bias pvalue" value="10000"/> |
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38 <param name="estimator" type="select" label="Estimator" help="Test estimator for computation" optional="true"> |
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39 <option value="median" selected="true">Median</option> |
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40 <option value="mean">Mean</option> |
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41 </param> |
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42 <param name="gthreshold" type="integer" label="Gene Threshold" help="Minimum number of mutations per gene to compute the FM bias" value="2"/> |
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43 <param name="pthreshold" type="integer" label="Pathway Threshold" help="Minimum number of mutations per pathway to compute the FM bias" value="10" /> |
| 1 | 44 <param name="qcut" type="float" label="Q value cutoff" help="Only return genes with Q value below this threshold" value="1.0" /> |
| 45 <param name="slices" type="text" label="Slices" help="Slices to process separated by commas(slices=SIFT,PPH2,MA)" value="SIFT,PPH2"/> | |
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46 <conditional name="mapoption"> |
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47 <param name="mapfile" type="select" label="Choose the source for the OncodriveFM Mapping File"> |
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48 <option value="included_file" selected="true">Use hg19 mapping file</option> |
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49 <option value="custom">Use a mapping file from the history</option> |
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50 <option value="no_file">Use no mapping file</option> |
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51 </param> |
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52 <when value="custom"> |
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53 <param name="mpath" type="data" format="tabular" label="OncodriveFM Mapping File"/> |
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54 </when> |
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55 </conditional> |
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56 </section> |
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57 </inputs> |
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58 <outputs> |
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59 <data format="tabular" name="out_file1" label="oncodrivefm-genes.tsv" /> |
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60 <data format="tabular" name="out_file2" label="oncodrivefm-pathways.tsv" > |
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61 <filter>(mapoption['mapfile'] == "included_file") or (mapoption['mapfile'] == "custom")</filter> |
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62 </data> |
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63 </outputs> |
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64 <help> |
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65 Oncodrive-fm is an approach to uncover driver genes or gene modules. |
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66 It computes a metric of functional impact using three well-known methods (SIFT, PolyPhen2 and MutationAssessor) |
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67 and assesses how the functional impact of variants found in a gene across several tumor samples deviates from |
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68 a null distribution. It is thus based on the assumption that any bias towards the accumulation of variants |
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69 with high functional impact is an indication of positive selection and can thus be used to detect candidate |
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70 driver genes or gene modules. |
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71 |
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72 See url for more information: http://bg.upf.edu/group/projects/oncodrive-fm.php |
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73 |
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74 If you use this Galaxy tool in work leading to a scientific publication please cite: |
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75 Gonzalez-Perez A and Lopez-Bigas N. 2012. Functional impact bias reveals cancer drivers. Nucleic Acids Res., 10.1093/nar/gks743. |
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planemo upload for repository https://github.com/morinlab/tools-morinlab/tree/master/tools/oncodrivefm commit 4ef2d91b7c1686a2696b92fe538d4aec51d05e40-dirty
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76 </help> |
| 1 | 77 <citations> |
| 78 <citation type="bibtex"> | |
| 79 @ARTICLE{Gonzalez-Perez2012-wq, | |
| 80 title = "Functional impact bias reveals cancer drivers", | |
| 81 author = "Gonzalez-Perez, Abel and Lopez-Bigas, Nuria", | |
| 82 journal = "Nucleic Acids Res.", | |
| 83 volume = 40, | |
| 84 number = 21, | |
| 85 pages = "e169--e169", | |
| 86 month = "1~" # nov, | |
| 87 year = 2012 | |
| 88 } | |
| 89 | |
| 90 | |
| 91 </citation> | |
| 92 <citation type="bibtex"> | |
| 93 @article {Albuquerque089631, | |
| 94 author = {Albuquerque, Marco A and Grande, Bruno M and Ritch, Elie and Jessa, Selin and Krzywinski, Martin I and Grewal, Jasleen and Shah, Sohrab and Boutros, Paul and Morin, Ryan}, | |
| 95 title = {Enhancing Knowledge Discovery from Cancer Genomics Data with Galaxy}, | |
| 96 year = {2016}, | |
| 97 doi = {10.1101/089631}, | |
| 98 publisher = {Cold Spring Harbor Labs Journals}, | |
| 99 URL = {http://biorxiv.org/content/early/2016/11/26/089631}, | |
| 100 eprint = {http://biorxiv.org/content/early/2016/11/26/089631.full.pdf}, | |
| 101 journal = {bioRxiv} | |
| 102 } | |
| 103 | |
| 104 </citation> | |
| 105 <citation type="bibtex"> | |
| 106 @misc{ | |
| 107 goecks2010galaxy, | |
| 108 title={Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences}, | |
| 109 author={Goecks, Jeremy and Nekrutenko, Anton and Taylor, James and others}, | |
| 110 journal={Genome Biol}, | |
| 111 volume={11}, | |
| 112 number={8}, | |
| 113 pages={R86}, | |
| 114 year={2010} | |
| 115 } | |
| 116 </citation> | |
| 117 | |
| 118 </citations> | |
|
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a9c4c014fc47
planemo upload for repository https://github.com/morinlab/tools-morinlab/tree/master/tools/oncodrivefm commit 4ef2d91b7c1686a2696b92fe538d4aec51d05e40-dirty
morinlab
parents:
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119 </tool> |
|
a9c4c014fc47
planemo upload for repository https://github.com/morinlab/tools-morinlab/tree/master/tools/oncodrivefm commit 4ef2d91b7c1686a2696b92fe538d4aec51d05e40-dirty
morinlab
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changeset
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120 |
