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#from turtle import shape
import streamlit as st
#from st_keyup import st_keyup
import pandas as pd
import numpy as np
from st_aggrid import AgGrid, GridOptionsBuilder,GridUpdateMode,DataReturnMode
import os
cwd=os.getcwd()+'/'+'data/'
#get genes list
listA = pd.read_csv(cwd+"20200513_library_1_2_unbalanced_dJR051.csv",index_col=False)
listB = pd.read_csv(cwd+"20200513_library_3_4_unbalanced_dJR052.csv",index_col=False)
listC = pd.read_csv(cwd+"20200513_library_5_6_unbalanced_dJR053.csv",index_col=False)
#variants=listA['sgID_A'].unique()
variants=listA['gene'].unique()
variants_s=sorted(variants)
#Also read LR guides
listA_found_ref = pd.read_csv(cwd+"seta_found_ref1.csv",index_col=False)
listA_notfound_ref = pd.read_csv(cwd+"seta_notfound_ref1.csv",index_col=False)
listA_found_lr = pd.read_csv(cwd+"seta_found_LR1.csv",index_col=False)
listA_notfound_lr = pd.read_csv(cwd+"seta_notfound_LR1.csv",index_col=False)
st.title('Long Read Guides Search')
#st.markdown('**Please select an option from the sidebar**')
#st.write(variants)
Calc = st.sidebar.radio(
"",
('ReadME', 'Tools Selection Menu'))
if Calc == 'ReadME':
#st.markdown("[Introduction](#Introduction)")
#st.markdown("[How do base editors work](#How-do-base-editors-work)")
expander = st.expander("How to use this app")
else:
#if Calc == 'Selection Menu':
#ReadMe = st.sidebar.checkbox('ReadME',value=False)
select_variant = st.sidebar.selectbox(
"Please select variant",
variants_s
)
#ref_sgrna=listA[listA['sgID_A']==select_variant][['protospacer_A','protospacer_B']]
ref_listA=listA[listA['gene']==select_variant][['guide_type','protospacer_A','protospacer_B','sgID_AB']]
#ref_listA=listA[listA['gene']==select_variant]
#st.write(ref_listA)
ref_listB=listB[listB['gene']==select_variant][['guide_type','protospacer_A','protospacer_B','sgID_AB']]
#st.write(ref_listB)
ref_listC=listC[listC['gene']==select_variant][['guide_type','protospacer_A','protospacer_B','sgID_AB']]
#st.write(ref_listC)
#m=pd.merge(ref_listA,ref_listC,ref_listC)
listA_concatenated_orig = pd.concat([ref_listA,ref_listB,ref_listC])
st.write('Original Guides (all 6 from 3 sets)')
st.write(listA_concatenated_orig)
st.write('GRCh38 SetA Guides Found with at most 2 Missmatches')
a_ref=ref_listA.sgID_AB.values[0].split('|')
#check GRCh38
seta_found0_ref=listA_found_ref[listA_found_ref['gene']==a_ref[0]]
seta_found1_ref=listA_found_ref[listA_found_ref['gene']==a_ref[1]]
listA_concatenated_found_ref = pd.concat([seta_found0_ref,seta_found1_ref])
st.write(listA_concatenated_found_ref)
st.write('LR SetA Guides Found with at most 2 Missmatches')
seta_found0_lr=listA_found_lr[listA_found_lr['gene']==a_ref[0]]
seta_found1_lr=listA_found_lr[listA_found_lr['gene']==a_ref[1]]
listA_concatenated_found_LR = pd.concat([seta_found0_lr,seta_found1_lr])
st.write(listA_concatenated_found_LR)
st.write('GRCh38 SetA Guides Not Found')
seta_notfound0_ref=listA_notfound_ref[listA_notfound_ref['gene']==a_ref[0]]
seta_notfound1_ref=listA_notfound_ref[listA_notfound_ref['gene']==a_ref[1]]
listA_concatenated_notfound_ref = pd.concat([seta_notfound0_ref,seta_notfound1_ref])
st.write(listA_concatenated_notfound_ref)
st.write('LR SetA Guides Not Found')
seta_notfound0_lr=listA_notfound_lr[listA_notfound_lr['gene']==a_ref[0]]
seta_notfound1_lr=listA_notfound_lr[listA_notfound_lr['gene']==a_ref[1]]
listA_concatenated_notfound_lr = pd.concat([seta_notfound0_lr,seta_notfound1_lr])
st.write(listA_concatenated_notfound_lr)
#protospacer_A
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