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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ The aim of this project is to use **Deep Neural-Nets** to predict homology type
The model uses a synteny matrix and some other factors derived from the species tree to make predictions. <br/>
**Download The Required Files:**

In order to download all the needed files run: `python ftpg.py`<br/>
In order to download all the needed files run: `python download-data/ftpg.py`<br/>

It will download the `gtf`, `cds` and `pep` files.

Expand Down
166 changes: 83 additions & 83 deletions ftpg.py → download-data/ftpg.py
Original file line number Diff line number Diff line change
@@ -1,83 +1,83 @@
from ftplib import FTP
import progressbar
import os
import sys
import urllib.request as urllib
import requests
def download_data(x,dir_name):
fname=x.split("/")[-1]
path=os.path.join(dir_name,fname)
urllib.urlretrieve(x,path)
def get_data_file(file,dir):
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 not os.path.exists(dir):
os.mkdir(dir)
for x in progressbar.progressbar(lf):
download_data(x,dir)
#This wil download all the fasta files for the coding sequences. To change the directory, change the argument in the get_data_file argument.
host ="ftp.ensembl.org"
user = "anonymous"
password = ""
print("Connecting to {}".format(host))
ftp = FTP(host)
ftp.login(user, password)
print("Connected to {}".format(host))
base_link="ftp://ftp.ensembl.org"
#find sequences of all the cds files
l=ftp.nlst("/pub/release-96/fasta")
lt=[]
for x in l:
y=ftp.nlst(x+"/cds")
for z in y:
if z.endswith(".cds.all.fa.gz"):
lt.append(z)
with open("seq_link.txt","w") as file:
for x in lt:
file.write(base_link+x)
file.write("\n")
#find all the files with protein sequences
l=ftp.nlst("/pub/release-96/fasta")
lt=[]
for x in progressbar.progressbar(l):
y=ftp.nlst(x+"/pep")
for z in y:
if z.endswith(".pep.all.fa.gz"):
lt.append(z)
with open("protein_seq.txt","w") as file:
for x in lt:
file.write(base_link+x)
file.write("\n")
#get link of all the gtf files
l=ftp.nlst("/pub/release-96/gtf")
lt=[]
for x in l:
y=ftp.nlst(x)
for z in y:
if z.endswith(".96.gtf.gz"):
lt.append(z)
with open("gtf_link.txt","w") as file:
for x in lt:
file.write(base_link+x)
file.write("\n")
print("Downloading Data")
get_data_file("gtf_link.txt","data")
get_data_file("seq_link.txt","geneseq")
get_data_file("protein_seq.txt","pro_seq")
print("Download Complete.................")
from ftplib import FTP
import progressbar
import os
import sys
import urllib.request as urllib
import requests

def download_data(x,dir_name):
fname=x.split("/")[-1]
path=os.path.join(dir_name,fname)
urllib.urlretrieve(x,path)

def get_data_file(file,dir):
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 not os.path.exists(dir):
os.mkdir(dir)
for x in progressbar.progressbar(lf):
download_data(x,dir)



#This wil download all the fasta files for the coding sequences. To change the directory, change the argument in the get_data_file argument.
host ="ftp.ensembl.org"
user = "anonymous"
password = ""

print("Connecting to {}".format(host))
ftp = FTP(host)
ftp.login(user, password)
print("Connected to {}".format(host))
base_link="ftp://ftp.ensembl.org"
#find sequences of all the cds files
l=ftp.nlst("/pub/release-96/fasta")
lt=[]
for x in l:
y=ftp.nlst(x+"/cds")
for z in y:
if z.endswith(".cds.all.fa.gz"):
lt.append(z)

with open("download-data/seq_link.txt","w") as file:
for x in lt:
file.write(base_link+x)
file.write("\n")

#find all the files with protein sequences
l=ftp.nlst("/pub/release-96/fasta")
lt=[]
for x in progressbar.progressbar(l):
y=ftp.nlst(x+"/pep")
for z in y:
if z.endswith(".pep.all.fa.gz"):
lt.append(z)

with open("download-data/protein_seq.txt","w") as file:
for x in lt:
file.write(base_link+x)
file.write("\n")
#get link of all the gtf files
l=ftp.nlst("/pub/release-96/gtf")
lt=[]
for x in l:
y=ftp.nlst(x)
for z in y:
if z.endswith(".96.gtf.gz"):
lt.append(z)

with open("download-data/gtf_link.txt","w") as file:
for x in lt:
file.write(base_link+x)
file.write("\n")

print("Downloading Data")
get_data_file("download-data/gtf_link.txt","data")
get_data_file("download-data/seq_link.txt","geneseq")
get_data_file("download-data/protein_seq.txt","pro_seq")
print("Download Complete.................")