GenDataPro

import requests, sys
import json

gene_id = "NCOR2"

response = requests.get("http://rest.ensembl.org/lookup/symbol/homo_sapiens/{}?content-type=application/json;expand=1".format(gene_id))

json_data = response.content.decode("utf-8")
data = json.loads(json_data)

GenDataPro

import sys
import json

gene_id = "NCOR2"

response = requests.get("http://rest.ensembl.org/lookup/symbol/homo_sapiens/{}?content-type=application/json;expand=1".format(gene_id))

json_data = response.content.decode("utf-8")
data = json.loads(json_data)

GenDataPro

import json
import requests, sys

gene_id = "ENSG00000139618"
gene_name = "NCOR2"
species = "homo_sapiens"
transcript = "ENSP00000384018"

response_isoform = requests.get("http://rest.ensembl.org/lookup/id/{}?content-type=application/json;expand=2".format(gene_id))
json_data_isoform = response_isoform.content.decode("utf-8")

GenDataPro

import requests
import sys
import json

#gene_id = [line.strip() for line in open("C:/name/MyDocuments/numbers", 'r')]

gene_id = ["ENSG00000196498", "ENSG00000157764", "ENSG00000139618", "ENSMUSG00000041147"]

for gene in gene_id:
    new_gene = gene

GenDataPro

import json
import requests, sys

gene_id = "ENSG00000139618"
gene_name = "NCOR2"
species = "homo_sapiens"
transcript = "ENSP00000384018"

response_isoform = requests.get("http://rest.ensembl.org/lookup/id/{}?content-type=application/json;expand=2".format(gene_id))
json_data_isoform = response_isoform.content.decode("utf-8")

GenDataPro

import requests
import sys
import json

gene_id = "ENSG00000196498"

response = requests.get("http://rest.ensembl.org/lookup/id/{}?content-type=application/json;expand=1".format(gene_id))

json_data = response.content.decode("utf-8")
data = json.loads(json_data)

GenDataPro

import time
try:
    from queue import Queue
except ImportError:
    from Queue import Queue
from threading import Thread
import requests 
import json
from collections import Counter
import pandas as pd

GenDataPro

import requests 
import json
from collections import Counter
import pandas as pd

file_name = "/Users/Dani/OneDrive/GenDataPro/TFs.txt"
with open(file_name) as gene_text:
    gene_file = gene_text.read()
gene_ids = gene_file.split()