Mercurial > repos > bgruening > eden_sequence_converter
view eden_converter.xml @ 0:a083202dc29d draft
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit a6e80305ed0892c8163d690a2d376d6b454824de-dirty
author | bgruening |
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date | Mon, 02 May 2016 16:17:10 -0400 |
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<tool id="eden_sequence_converter" name="Convert" version="@VERSION@"> <description>sequences to graphs</description> <macros> <import>main_macros.xml</import> </macros> <expand macro="python_requirements"> <requirement type="package" version="2.2.5">viennarna</requirement> <requirement type="package" version="2.1.6">rnashapes</requirement> </expand> <expand macro="macro_stdio"/> <version_command>echo "@VERSION@"</version_command> <command> <![CDATA[ python "$eden_converter_script" '$inputs' ]]> </command> <configfiles> <inputs name="inputs" /> <configfile name="eden_converter_script"> <![CDATA[ import sys import json import networkx from eden.converter.fasta import fasta_to_sequence from eden.converter.rna.rnashapes import rnashapes_to_eden from eden.converter.rna.rnafold import rnafold_to_eden from eden.converter.graph.node_link_data import eden_to_node_link_data #*from eden.converter.graph.node_link_data import eden_to_node_link_file*# input_json_path = sys.argv[1] params = json.load(open(input_json_path, "r")) sequence_iterable = fasta_to_sequence("$infile") if "$converter_options.selected_converter" == "rnafold_to_eden": graph_list = rnafold_to_eden(sequence_iterable) elif "$converter_options.selected_converter" == "rnashapes_to_eden": params["converter_options"].pop('selected_converter') sub_params = params["converter_options"]["options"] graph_list = rnashapes_to_eden(sequence_iterable, **sub_params ) json_graph_list = eden_to_node_link_data(graph_list) #*TODO: replace with eden_to_node_link_file(graph_list, fname)*# with open("$outfile", 'w+') as out_file: for json_graph in json_graph_list: out_file.write(json_graph + '\n') ]]> </configfile> </configfiles> <inputs> <param name="infile" type="data" format="fasta" label="Fasta file" help="File including lines with FASTA format."/> <conditional name="converter_options"> <param name="selected_converter" type="select" label="Folding algorithm"> <option value="rnafold_to_eden">RNAfold</option> <option value="rnashapes_to_eden">RNAshapes</option> </param> <when value="rnafold_to_eden"> </when> <when value="rnashapes_to_eden"> <section name="options" title="Advanced Options" expanded="False"> <param argument="shape_type" type="integer" optional="true" value="5" label="Shape type" help="The level of abstraction or dissimilarity which defines a different shape. ( Integer ranging from 1 to 5; default : 5 )"/> <param argument="energy_range" type="integer" optional="true" value="10" label="Energy range" help="Energy range as percentage value of the minimum free energy. ( Positive floating point number; default : 10 )"/> <param argument="max_num" type="integer" optional="true" value="3" label="Number of generated shapes" help="Maximum number of structures that are generated. ( default : 3 )"/> <param argument="split_components" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="false" label="Split structures" help="Yields each strucutre as an independent graph or packs all structures in the same graph with several disconnectd components. ( default : False )"/> </section> </when> </conditional> </inputs> <outputs> <data format="json" name="outfile"/> </outputs> <tests> <test> <param name="infile" value="RF01704.fasta" ftype="fasta"/> <param name="selected_converter" value="rnafold_to_eden"/> <output name="outfile" file="converter_result01.json"/> </test> <test> <param name="infile" value="RF01704.fasta" ftype="fasta"/> <param name="selected_converter" value="rnashapes_to_eden"/> <param name="shape_type" value="2" /> <param name="energy_range" value="4" /> <param name="max_num" value="3" /> <param name="split_components" value="true" /> <output name="outfile" file="converter_result02.json"/> </test> </tests> <help> <![CDATA[ **What it does** This tool transforms fasta sequences to graphs that encode secondary structure information. Users can choose between two RNA folding algorithms: 1. RNAfold to predict the Minimum Free Energy (mfe) structure. 2. RNAshapes to predict a specified number of shapes with the highest occurrence probability. ]]> </help> <expand macro="eden_citation"/> </tool>