# HG changeset patch # User lnguyen # Date 1505482339 14400 # Node ID 6f22d2726103db533e114662c02ea96591baa7c8 planemo upload diff -r 000000000000 -r 6f22d2726103 jvenn_template.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/jvenn_template.html Fri Sep 15 09:32:19 2017 -0400 @@ -0,0 +1,228 @@ + + + + + Jvenn+ + + + + + + + + + + + + + + + + + + + +

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+ javascript is needed to display data.
+ If you try to view this data on galaxy please contact your administrator to authorise javascript or download the file to view. +

+ + +
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G000534 + G004535 + G002757 + G002459 + G001910 + G002751 + G002758 + G002320 + G000031 + G001032 \ No newline at end of file diff -r 000000000000 -r 6f22d2726103 venn_diagram.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/venn_diagram.py Fri Sep 15 09:32:19 2017 -0400 @@ -0,0 +1,182 @@ +#!/usr/bin/env python2.7 + +import os +import sys +import json +import operator +import argparse +import re +from itertools import combinations + +CURRENT_DIR = os.path.dirname(os.path.abspath(__file__)) + +################################################################################################################################################## +# FUNCTIONS +################################################################################################################################################## + +def isnumber(format, n): + """ + Check if an element is integer or float + """ + float_format = re.compile("^[\-]?[1-9][0-9]*\.?[0-9]+$") + int_format = re.compile("^[\-]?[1-9][0-9]*$") + test = "" + if format == "int": + test = re.match(int_format, n) + elif format == "float": + test = re.match(float_format, n) + if test: + return True + else: + return False + +def input_to_dict(inputs): + """ + Parse input and return a dictionary of name and data of each lists/files + """ + comp_dict = {} + title_dict = {} + c = ["A", "B", "C", "D", "E", "F"] + for i in range(len(inputs)): + input_file = inputs[i][0] + name = inputs[i][1] + input_type = inputs[i][2] + title = c[i] + title_dict[title] = name + ids = set() + if input_type == "file": + header = inputs[i][3] + ncol = inputs[i][4] + file_content = open(input_file, "r").readlines() + + # Check if column number is in right form + if isnumber("int", ncol.replace("c", "")): + if header == "true": + file_content = [x.strip() for x in [line.split("\t")[int(ncol.replace("c", ""))-1].split(";")[0] for line in file_content[1:]]] # take only first IDs + else: + file_content = [x.strip() for x in [line.split("\t")[int(ncol.replace("c", ""))-1].split(";")[0] for line in file_content]] # take only first IDs + #print(file_content[1:13]) + else: + raise ValueError("Please fill in the right format of column number") + else: + ids = set() + file_content = inputs[i][0].split() + + ids.update(file_content) + comp_dict[title] = ids + + return comp_dict, title_dict + +def intersect(comp_dict): + """ + Calculate the intersections of input + """ + names = set(comp_dict) + for i in range(1, len(comp_dict) + 1): + for group in combinations(sorted(comp_dict), i): + others = set() + [others.add(name) for name in names if name not in group] + difference = [] + intersected = set.intersection(*(comp_dict[k] for k in group)) + n = "".join(group) + if len(others) > 0: + difference = intersected.difference(set.union(*(comp_dict[k] for k in others))) + yield group, list(intersected), list(difference) + +def diagram(comp_dict, title_dict): + """ + Create json string for jvenn diagram plot + """ + result = {} + result["name"] = {} + for k in comp_dict.keys(): + result["name"][k] = title_dict[k] + + result["data"] = {} + result["values"] = {} + for group, intersected, difference in intersect(comp_dict): + if len(group) == 1: + result["data"]["".join(group)] = difference + result["values"]["".join(group)] = len(difference) + elif len(group) > 1 and len(group) < len(comp_dict): + result["data"]["".join(group)] = difference + result["values"]["".join(group)] = len(difference) + elif len(group) == len(comp_dict): + result["data"]["".join(group)] = intersected + result["values"]["".join(group)] = len(intersected) + + return result + +def write_text_venn(json_result): + """ + Write intersections of input to text output file + """ + output = open("venn_diagram_text_output.txt", "w") + string = "" + lines = [] + result = dict((k, v) for k, v in json_result["data"].iteritems() if v != []) + print(result) + max_count = max(len(v) for v in result.values()) + print(max_count) + for i in range(max_count): + lines.append("") + + for i in range(max_count): + header = "" + for d in range(len(result.keys())): + data = result.keys()[d] + name = "_".join([json_result["name"][x] for x in data]) + header += name + "\t" + if len(result[data]) > i: + lines[i] += result[data][i] + "\t" + else: + lines[i] += "\t" + string += header + "\n" + string += "\n".join(lines) + print(string) + output.write(string) + output.close() + +def write_summary( summary_file, inputs): + """ + Paste json string into template file + """ + a, b = input_to_dict(inputs) + data = diagram(a, b) + write_text_venn(data) + + to_replace = { + "series": [data], + "displayStat": "true", + "displaySwitch": "true", + "shortNumber": "true", + } + + FH_summary_tpl = open(os.path.join(CURRENT_DIR, "jvenn_template.html")) + FH_summary_out = open(summary_file, "w" ) + for line in FH_summary_tpl: + if "###JVENN_DATA###" in line: + line = line.replace("###JVENN_DATA###", json.dumps(to_replace)) + FH_summary_out.write(line) + + FH_summary_out.close() + FH_summary_tpl.close() + +def process(args): + write_summary(args.summary, args.input) + + +################################################################################################################################################## +# MAIN +################################################################################################################################################## +if __name__ == '__main__': + # Parse parameters + parser = argparse.ArgumentParser(description='Filters an abundance file') + group_input = parser.add_argument_group( 'Inputs' ) + group_input.add_argument('--input', nargs="+", action="append", required=True, help="The input tabular file.") + group_output = parser.add_argument_group( 'Outputs' ) + group_output.add_argument('--summary', default="summary.html", help="The HTML file containing the graphs. [Default: %(default)s]") + args = parser.parse_args() + + # Process + process( args ) diff -r 000000000000 -r 6f22d2726103 venn_diagram.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/venn_diagram.xml Fri Sep 15 09:32:19 2017 -0400 @@ -0,0 +1,169 @@ + + + An integrative tool for comparing up to 6 ID lists with Venn Diagrams (based on Jvenn). + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +This tool draw a venn diagram from lists/files using Jvenn plug-in (http://jvenn.toulouse.inra.fr/app/index.html). It also creates output files that contain common or specific elements between query and each compared lists/files. + +**Inputs** + +* **Query file:** A file containing different information of proteins, could be output of previous components. + +* **File of a list of IDs:** .TXT format, each line contains 1 ID + + AMY1A + + ALB + + IGKC + + CSTA + + IGHA1 + + ACTG1 + +* **List of IDs:** IDs separated by a space + AMY1A ALB IGKC CSTA IGHA1 ACTG1 + +If you choose a file, it is necessary to specify the column where you would like to perform the comparison. + +**Outputs** + +* **Summary file** (venn_diagram_summary.html): + Venn diagram: Could be downloaded as image (PNG, SVG) + +* **Venn text output file** + A text file containing common/specific elements among compared lists/files. + +----- + +.. class:: infomark + +**Authors** + +Philippe Bardou, Jérôme Mariette, Frédéric Escudié, Christophe Djemiel and Christophe Klopp. jvenn: an interactive Venn diagram viewer. BMC Bioinformatics 2014, 15:293 doi:10.1186/1471-2105-15-293 + +.. class:: infomark + +**Galaxy integration** + +T.P. Lien Nguyen, Florence Combes, Yves Vandenbrouck CEA, INSERM, CNRS, Grenoble-Alpes University, BIG Institute, FR +Sandra Dérozier, Olivier Rué, Christophe Caron, Valentin Loux INRA, Paris-Saclay University, MAIAGE Unit,Migale Bioinformatics platform + +Contact support@proteore.org for any questions or concerns about the Galaxy implementation of this tool. + + + + +