Exemple #1
0
    def search_orthologs_from_pangenome(self, token, ref, query, sort_by,
                                        start, limit, num_found):

        search_object = 'orthologs'
        info_included = [
            'id', 'type', 'function', 'md5', 'protein_translation', 'orthologs'
        ]
        table_indexer = TableIndexer(token, self.ws_url)

        ret = table_indexer.run_search(ref, self.pangenome_index_dir,
                                       self.ORTHOLOGS_SUFFIX, search_object,
                                       info_included, query, sort_by, start,
                                       limit, num_found, self.debug)

        for orthologs in ret['orthologs']:
            orthologs_string = orthologs['orthologs']
            if orthologs_string:
                orthologs['orthologs'] = list(eval(orthologs_string))
                if not isinstance(orthologs['orthologs'][0], list):
                    orthologs['orthologs'] = [orthologs['orthologs']]

        ws = Workspace(self.ws_url, token=token)
        genome_feature_function_map = {}
        for orthologs in ret['orthologs']:
            for orthologs_obj in orthologs['orthologs']:
                gene_id = orthologs_obj[0]

                if gene_id in genome_feature_function_map:
                    orthologs_obj.append(
                        genome_feature_function_map.get(gene_id))
                else:
                    included = ["/features/[*]/function", "/features/[*]/id"]
                    object_info = ws.get_objects2({
                        'objects': [{
                            'ref': orthologs_obj[2],
                            'included': included
                        }]
                    })['data'][0]['data']

                    map(
                        lambda feature: genome_feature_function_map.update(
                            {feature.get('id'): feature.get('function')}),
                        object_info['features'])

                    orthologs_obj.append(
                        genome_feature_function_map.get(gene_id))

        return ret
Exemple #2
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    def search_comparison_genome_from_comparison_genome(
            self, token, ref, query, sort_by, start, limit, num_found):

        search_object = 'genomes'
        info_included = [
            'id', 'genome_ref', 'genome_similarity', 'name', 'taxonomy',
            'features', 'families', 'functions'
        ]
        table_indexer = TableIndexer(token, self.ws_url)

        ret = table_indexer.run_search(ref, self.comparison_genome_index_dir,
                                       self.COMPARISON_GENOMES_SUFFIX,
                                       search_object, info_included, query,
                                       sort_by, start, limit, num_found,
                                       self.debug)

        for genome in ret['genomes']:
            if genome['genome_similarity']:
                genome['genome_similarity'] = eval(genome['genome_similarity'])

        return ret
Exemple #3
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    def search_functions_from_comparison_genome(self, token, ref, query,
                                                sort_by, start, limit,
                                                num_found):

        search_object = 'functions'
        info_included = [
            'core', 'genome_features', 'id', 'reactions', 'subsystem',
            'primclass', 'subclass', 'number_genomes', 'fraction_genomes',
            'fraction_consistent_families', 'most_consistent_family'
        ]
        table_indexer = TableIndexer(token, self.ws_url)

        ret = table_indexer.run_search(ref, self.comparison_genome_index_dir,
                                       self.FUNCTIONS_SUFFIX, search_object,
                                       info_included, query, sort_by, start,
                                       limit, num_found, self.debug)

        for function in ret['functions']:
            if function['genome_features']:
                function['genome_features'] = eval(function['genome_features'])

        return ret
Exemple #4
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    def search_families_from_comparison_genome(self, token, ref, query,
                                               sort_by, start, limit,
                                               num_found):

        search_object = 'families'
        info_included = [
            'core', 'genome_features', 'id', 'type', 'protein_translation',
            'number_genomes', 'fraction_genomes',
            'fraction_consistent_annotations', 'most_consistent_role'
        ]
        table_indexer = TableIndexer(token, self.ws_url)

        ret = table_indexer.run_search(ref, self.comparison_genome_index_dir,
                                       self.FAMILIES_SUFFIX, search_object,
                                       info_included, query, sort_by, start,
                                       limit, num_found, self.debug)

        for family in ret['families']:
            if family['genome_features']:
                family['genome_features'] = eval(family['genome_features'])

        return ret