Mercurial > repos > guerler > springsuite
view spring_minz.py @ 6:323f11769abf draft
"planemo upload commit 0f78008658d469b8c412a393050ac4ed9230b9ee-dirty"
author | guerler |
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date | Fri, 31 Jul 2020 23:35:20 -0400 |
parents | d30785e31577 |
children | f2f38991c36f |
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#! /usr/bin/env python3 import argparse import os def main(args): names = [] with open(args.list) as file: for index, line in enumerate(file): names.append(line.strip()) print ("Loaded %s names from `%s`." % (len(names), args.list)) crossreference = {} with open(args.crossreference) as file: for index, line in enumerate(file): columns = line.split() core = columns[0] partner = columns[2] if core not in crossreference: crossreference[core] = [] crossreference[core].append(partner) print ("Loaded cross reference from `%s`." % args.crossreference) targets = get_template_scores(args.target, args.minscore) if not targets: print("No targets found `%s`" % args.target) else: print ("Loaded target scores from `%s`." % args.target) interactions = [] for name in names: input_directory = args.inputs.rstrip("/") input_file = "%s/%s" % (input_directory, name) templates = get_template_scores(input_file, args.minscore) minz = 0 for t in targets: if t in crossreference: partners = crossreference[t] for p in partners: if p in templates: score = min(targets[t], templates[p]) if score > minz: minz = score if minz > args.minscore: interactions.append((name, minz)) print("Predicting: %s, min-Z: %s" % (name, minz)) interactions.sort(key=lambda tup: tup[1], reverse=True) with open(args.output, 'w') as output_file: for i in interactions: output_file.write("%s %s\n" % (i[0], i[1])) def get_template_scores(hhr_file, min_score): result = {} if os.path.isfile(hhr_file): with open(hhr_file) as file: for index, line in enumerate(file): if index > 8: if not line.strip(): break template_id = line[4:10] template_score = float(line[57:63]) if template_score > min_score: result[template_id] = template_score return result if __name__ == "__main__": parser = argparse.ArgumentParser(description='This script identifies interactions by detecting matching HH-search results.') parser.add_argument('-t', '--target', help='HHR target file result', required=True) parser.add_argument('-c', '--crossreference', help='Cross Reference index file', required=True) parser.add_argument('-l', '--list', help='Text file containing identifiers.', required=True) parser.add_argument('-i', '--inputs', help='Directory containing `hhr/X/Y.hhr` files', required=True) parser.add_argument('-o', '--output', help='Output file containing minZ-scores`', required=True) parser.add_argument('-m', '--minscore', help='min-Z score threshold', type=int, default=10) args = parser.parse_args() main(args)