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planemo upload for repository https://github.com/galaxyproject/tools-devteam/tree/master/tools/emboss_5 commit fc158bfe5f5927dc199321a2cf43310373cbc8ba
author | devteam |
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date | Fri, 12 Aug 2016 19:17:10 -0400 |
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children | 0e2484b6829b |
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<tool id="EMBOSS: pepnet70" name="pepnet" version="5.0.0"> <!-- graphical output file with path information --> <description>Displays proteins as a helical net</description> <requirements><requirement type="package" version="5.0.0">emboss</requirement></requirements> <command>pepnet -sequence $input1 -graph png -goutfile $out_file1 -squares $squares -diamonds $diamonds -octags $octags -amphipathic $amphipathic -auto</command> <inputs> <param format="data" name="input1" type="data"> <label>Sequence</label> </param> <param name="squares" type="text" value="ILVM"> <label>Residues to mark with squares</label> </param> <param name="diamonds" type="text" value="DENQST"> <label>Residues to mark with diamonds</label> </param> <param name="octags" type="text" value="HKR "> <label>Residues to mark with octagons</label> </param> <param name="amphipathic" type="select"> <label>If this is true then the residues ACFGILMVWY are marked as squares and all other residues are unmarked. This overrides any other markup that you may have specified</label> <option value="no">No</option> <option value="yes">Yes</option> </param> </inputs> <outputs> <data format="png" name="out_file1" /> </outputs> <help> You can view the original documentation here_. .. _here: http://emboss.sourceforge.net/apps/release/5.0/emboss/apps/pepnet.html ------ **Citation** For the underlying tool, please cite `Rice P, Longden I, Bleasby A. EMBOSS: the European Molecular Biology Open Software Suite. Trends Genet. 2000 Jun;16(6):276-7. <http://www.ncbi.nlm.nih.gov/pubmed/10827456>`_ If you use this tool in Galaxy, please cite `Blankenberg D, Taylor J, Schenck I, He J, Zhang Y, Ghent M, Veeraraghavan N, Albert I, Miller W, Makova KD, Hardison RC, Nekrutenko A. A framework for collaborative analysis of ENCODE data: making large-scale analyses biologist-friendly. Genome Res. 2007 Jun;17(6):960-4. <http://www.ncbi.nlm.nih.gov/pubmed/17568012>`_ </help> </tool>