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gwas-gene-discovery

#28.01.2019 #The script, map_snp_to_gene_v5.py was edited and now takes gwas results outputted from GAPIT to return genes associated with significant snps and functional annotation.

#A virtual environment in python2.7 must be set up first. virtualenv-2.7 py27virtual export PYTHONPATH="/home/apps/python/lib64/python2.7/site-manager/" source py27virtual/bin/activate

#The following must be installed in python (readings shown below):

pip install traceback #https://docs.python.org/2/library/traceback.html

pip install requests #http://docs.python-requests.org/en/master/

pip install datetime #https://docs.python.org/2/library/datetime.html

pip install json #https://docs.python.org/2/library/json.html

#The script requires the following to be in the same directory as the script: gapit in .csv annotation (in this case Os_Nipponbare_IRGSP_1_gene_Loci_and_designation.txt)

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A pilot project to automate GWAS gene discovery steps

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