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Erva Ulusoy
commited on
Commit
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8787ae1
1
Parent(s):
81e9699
update disclaimer
Browse files- Domain2GO.py +4 -4
Domain2GO.py
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@@ -1,4 +1,5 @@
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import streamlit as st
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import requests
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from io import StringIO
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from Bio import SeqIO
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@@ -135,11 +136,10 @@ else:
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# </div>
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# """, unsafe_allow_html=True)
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-
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st.markdown("""
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<div style="position: relative; width: 700px; height: 880px;">
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-
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<
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<p style="color:#b22d2a;font-size:15px;">Disclaimer</p>
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<p style="color:#000000;font-size:14px;">This program is designed to generate predictions for a single protein due to the extended runtime of InterProScan. If you need predictions for multiple UniProtKB/Swiss-Prot proteins, we recommend utilizing our comprehensive protein function prediction dataset available in our <a href="https://github.com/HUBioDataLab/Domain2GO">Github repository</a>.</p>
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</div>
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import streamlit as st
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import streamlit.components.v1 as components
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import requests
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from io import StringIO
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from Bio import SeqIO
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# </div>
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# """, unsafe_allow_html=True)
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st.markdown("""
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<div style="position: relative; width: 700px; height: 880px;">
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<div style="position: absolute; bottom: -180px; padding:10px">
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<hr style="height:2px;border:none;color:#333;background-color:#333;" />
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<p style="color:#b22d2a;font-size:15px;">Disclaimer</p>
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<p style="color:#000000;font-size:14px;">This program is designed to generate predictions for a single protein due to the extended runtime of InterProScan. If you need predictions for multiple UniProtKB/Swiss-Prot proteins, we recommend utilizing our comprehensive protein function prediction dataset available in our <a href="https://github.com/HUBioDataLab/Domain2GO">Github repository</a>.</p>
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</div>
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