<jupyter_start><jupyter_text>comparison of replication timing between mESC and mNPC of selected genes<jupyter_code>import pandas as pd
from datetime import date<jupyter_output><empty_output><jupyter_text>dels<jupyter_code>dels_mNPC = pd.read_csv('deletions_all_090522.csv', sep='\t', usecols=['genes','s50']) 
dels_mNPC.head()
dels_mESC = pd.read_csv('deletions_all_100522_mESC.csv', sep='\t', usecols=['genes','s50']) 
dels_mESC.head()<jupyter_output><empty_output><jupyter_text>ins<jupyter_code>ins_mNPC = pd.read_csv('insertions_all_090522.csv', sep='\t', usecols=['genes','s50']) 
ins_mNPC.head()
ins_mESC = pd.read_csv('insertions_all_100522_mESC.csv', sep='\t', usecols=['genes','s50']) 
ins_mESC.head()<jupyter_output><empty_output><jupyter_text>all<jupyter_code>dels_all = pd.merge(left=dels_mNPC, right=dels_mESC, on='genes', suffixes=('_mNPC', '_mESC'))
dels_all.head()
ins_all = pd.merge(left=ins_mNPC, right=ins_mESC, on='genes', suffixes=('_mNPC', '_mESC'))
ins_all.head()
dels_all.to_csv(f'deletions_all_{date.today().strftime("%d%m%y")}_both.csv', sep='\t', index=None)
ins_all.to_csv(f'insertions_all_{date.today().strftime("%d%m%y")}_both.csv', sep='\t', index=None)<jupyter_output><empty_output>
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