import gzip import json def build_gene_info_dict(gene_info_path, tax_id='9606'): """ Return a dict of: gene_id -> { "official_symbol": str, "synonyms": set of str } """ gene_dict = {} with gzip.open(gene_info_path, 'rt') as f: for line in f: if line.startswith("#"): continue cols = line.strip().split('\t') # typical columns: tax_id, GeneID, Symbol, LocusTag, Synonyms, ... if len(cols) < 6: continue tid, gene_id, official_symbol, locus_tag, synonyms_str = cols[:5] if tid != tax_id: continue synonyms = set(synonyms_str.split('|')) if synonyms_str else set() gene_dict[gene_id] = { "official_symbol": official_symbol, "synonyms": synonyms } return gene_dict def build_synonym_dict(gene_info_path): """ From gene_id -> {offical_symbol, synonyms}, build a dictionary from uppercase alias -> official symbol, avoiding collisions that overwrite official symbols of different genes. """ alias2official = {} gene_dict = build_gene_info_dict(gene_info_path) # Sort keys so we always process in a consistent order (optional). # But for big data, might skip sorting to save time. for gid, info in gene_dict.items(): official_symbol = info["official_symbol"] synonyms = info["synonyms"] # Combine synonyms and the official symbol itself # so that official symbols also map to themselves all_aliases = synonyms.union({official_symbol}) for alias in all_aliases: alias_upper = alias.upper() # If the alias is already taken as an official symbol for a different gene, # check if there's a conflict: if alias_upper in alias2official and alias2official[alias_upper] != official_symbol\ and alias2official[alias_upper] == alias_upper: # We have discovered the same alias points to two distinct official symbols. # If the symbol was previously identified as an official symbol, skip overwriting. continue else: alias2official[alias_upper] = official_symbol return alias2official if __name__ == "__main__": synonym_dict = build_synonym_dict("/home/techt/Downloads/gene_info.gz") with open("../metadata/gene_synonym.json", "w") as f: json.dump(synonym_dict, f)