#!/usr/local/bin/python3.3 import http.cookies as Cookie import os import datetime def get_cookies(): # Create a cookie object cookie = Cookie.SimpleCookie() # Check for existing cookies if 'HTTP_COOKIE' in os.environ: # get cookie cookie.load(os.environ["HTTP_COOKIE"]) try: uid = cookie["uid"].value if uid == "": cookie = None return cookie except: cookie = None else: cookie["uid"]["max-age"] = 60*60 cookie["uname"]["max-age"] = 60*60 cookie["pword"]["max-age"] = 60*60 cookie["fname"]["max-age"] = 60*60 cookie["lname"]["max-age"] = 60*60 cookie["admin"]["max-age"] = 60*60 cookie["appro"]["max-age"] = 60*60 else: cookie = None return cookie def phead(name, admin): ad = "" if admin == "1": ad = '(admin)' print(""" DASR: Database for the Analysis of Sequencing Reads """ % (name, ad)) def ptmpbody(): print("""

DASR (Database for the Analysis of Sequencing Reads)

What is DASR?

Database for the Analysis of Sequencing Reads (DASR) is an online database for the storage, output, query and analysis of Browser Extensible Data (BED).

Purpose of the database?

DASR was developed to facilitate data storage and analysis. Biologists can upload BED files to the database and identify overlapping regions of genomic features by the integrated utility BEDtools. These genomic features include transcription factor (TF) binding sites, histone modifications, DNase hypersensitivity sites, transcriptional (RNA) profiles, and other markings on a genome-wide basis.

Developers:

The database was developed by Akanksha Raju Khorgade, Junming Hu, Thomas Marsden, and Zhe Wang at Boston University as part of BF768 Biological Database Analysis, Spring 2017, G. Benson instructor. Faculty advisor: Prof. David Waxman.

Junming Hu
Bioinformatics Program at Boston University,
hjunming@bu.edu

Akanksha Raju Khorgade
Bioinformatics Program at Boston University,
akankshk@bu.edu

Thomas Marsden
Bioinformatics Program at Boston University,
tmarsden@bu.edu

Zhe Wang
Bioinformatics Program at Boston University,
zhe@bu.edu

""") def ptail(): print(""" """ % str(datetime.datetime.now())[:-7])