import pandas as pd import numpy as np import os import sys import progressbar import json from read_data import read_data_homology from read_get_gene_seq import read_gene_sequences from create_synteny_matrix import synteny_matrix from access_data_rest import update_rest if not os.path.isdir("processed/synteny_matrices"): os.mkdir("processed/synteny_matrices") arg=sys.argv arg=arg[1:] nos=int(arg[0]) lsy={} a_h,d_h=read_data_homology("data_homology") print(d_h) d_h=list(d_h.keys()) print("Homology Data Read") for i in range(len(a_h)): df=a_h[i] random_indexes=np.random.permutation(len(df)) random_indexes=random_indexes[:nos] df=df.loc[random_indexes] assert(len(df)==nos) a_h[i]=df print("Data Selected") with open("processed/neighbor_genes.json","r") as file: lsy=dict(json.load(file)) print(len(lsy)) print("Neighbor Genes Loaded") gene_sequences=read_gene_sequences(a_h,lsy,"geneseq","gene_sequences") print("Gene Sequences Loaded") print("Going to update not found sequences:") gene_sequences=update_rest(gene_sequences) n=3 ndir="processed/synteny_matrices/" nf1="synteny_matrices_global" nf2="synteny_matrices_local" nf3="indexes" for i in range(len(a_h)): df=a_h[i] print(len(df)) synteny_matrices_global,synteny_matrices_local,indexes=synteny_matrix(gene_sequences,df,lsy,n,0) np.save(ndir+str(d_h[i])+"_"+nf1,synteny_matrices_global) np.save(ndir+str(d_h[i])+"_"+nf2,synteny_matrices_local) np.save(ndir+str(d_h[i])+"_"+nf3,indexes) print(len(indexes)) print("Synteny Matrices Created Successfully :)")