diff --git a/get_data.py b/get_data.py
new file mode 100644
index 0000000..aebef8d
--- /dev/null
+++ b/get_data.py
@@ -0,0 +1,28 @@
+import sys
+import os
+from req_data import get_data_file
+from read_data import read_data_genome
+from process_data import list_dict_genomes
+
+arg=sys.argv
+arg=arg[1:]
+
+a=[]
+d={}
+
+feature_name='gene'
+
+if arg[0]=='-d':
+    a,d=read_data_genome(arg[1],a,d)
+elif arg[0]=='-f':
+    dir_name=get_data_file(arg[1])
+    a,d=read_data_genome(dir_name,a,d)
+
+assert(len(a)==len(d))
+
+ld,ldg=list_dict_genomes(a,d)
+
+assert(len(ld)==len(ldg))
+
+for i in range(len(ld)):
+    assert(len(ld[i])==len(ldg[i]))
diff --git a/my.txt b/my.txt
new file mode 100644
index 0000000..7a8fd71
--- /dev/null
+++ b/my.txt
@@ -0,0 +1,2 @@
+ftp://ftp.ensembl.org/pub/release-96/gtf/lepisosteus_oculatus/Lepisosteus_oculatus.LepOcu1.96.gtf.gz
+ftp://ftp.ensembl.org/pub/release-96/gtf/mola_mola/Mola_mola.ASM169857v1.96.gtf.gz
diff --git a/process_data.py b/process_data.py
new file mode 100644
index 0000000..ee8202d
--- /dev/null
+++ b/process_data.py
@@ -0,0 +1,15 @@
+import pandas
+import gc
+
+
+ls=[]
+ld=[]
+def list_dict_genomes(a,n):
+    for x in a:
+        ldg={}
+        uc=list(x["gene_id"])
+        for i in range(len(uc)):
+            ldg[uc[i]]=i
+        ls.append(uc)
+        ld.append(ldg)
+    return ls,ld
diff --git a/read_data.py b/read_data.py
new file mode 100644
index 0000000..7d9d8ab
--- /dev/null
+++ b/read_data.py
@@ -0,0 +1,38 @@
+import os
+import pandas as pd
+import gzip
+import sys
+
+def clear_data(x):
+    x=x.split()
+    try:
+        x=x[1]
+    except:
+        c=0
+        #print(x)
+    x=x[1:-1]
+    return x
+
+def read_data_genome(dir_name,a,dict_ind_genome):
+    lf=os.listdir(dir_name)
+    if len(lf)==0:
+        print("No files in the data directory!!!!!!")
+        sys.exit(1)
+    for x in lf:
+
+        data_gene=pd.read_csv(dir_name+"/"+x,compression='gzip',sep='\t',comment='#',header=None)
+        #print(data_gene.head)
+        data_gene=data_gene[data_gene[2]=="gene"]
+        data_gene=data_gene.sort_values(3)
+        tmp=data_gene[8].str.split(";",expand=True)
+        tmp=tmp.iloc[:,:5]
+        data_gene[["gene_id","gene_version","gene_name","gene_source","gene_biotype"]]=tmp
+        data_gene=data_gene.drop(8,axis=1)
+        #print(data_gene[0:10])
+        for y in ["gene_version","gene_name","gene_source","gene_biotype","gene_id"]:
+            data_gene[y]=data_gene[y].apply(clear_data)
+        print(data_gene[0:10])
+        a.append(data_gene)
+        n=x.split(".")[0]
+        dict_ind_genome[n]=len(a)-1
+    return a,dict_ind_genome
diff --git a/req_data.py b/req_data.py
new file mode 100644
index 0000000..be4ac0b
--- /dev/null
+++ b/req_data.py
@@ -0,0 +1,30 @@
+import os
+import pandas
+import sys
+import urllib.request as urllib
+import pandas as pd
+
+
+lf=[]
+
+dir_name="data"
+
+def get_data_file(file):
+    print(file)
+    if not os.path.isfile(file):
+        print("The specified file does not exist!!!")
+        sys.exit(1)
+
+    with open(file,"r")as f:
+        lf=f.read().splitlines()
+
+    if os.path.exists("data"):
+        print("Data Directory Already Exists!!!")
+
+    os.mkdir(dir_name)
+    for x in lf:
+        fname=x.split("/")[-1]
+        path=os.path.join(dir_name,fname)
+        urllib.urlretrieve(x,path)
+
+    return dir_name