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Erva Ulusoy
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Commit
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033d566
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Parent(s):
dcacb6a
update about and user guide pages
Browse files- pages/About.py +1 -2
- pages/User_Guide.py +1 -1
pages/About.py
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@@ -19,7 +19,7 @@ st.markdown(
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st.markdown(
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"""
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Domain2GO
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Domain2GO is developed with the aim of identifying unknown protein functions by associating domains with Gene Ontology terms, thus defining the problem as domain function prediction. Domain2GO mappings are generated using the existing domain and GO annotation data. In order to obtain highly reliable associations, we employed statistical resampling and analyzed the co-occurrence patterns of domains and GO terms on the same proteins.
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Ulusoy, E., & Dogan, T. (2022). Mutual Annotation-Based Prediction of Protein Domain Functions with Domain2GO. *bioRxiv*, 514980v1. [Link](https://www.biorxiv.org/content/10.1101/2022.11.03.514980v1)
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Overall workflow of Domain2GO is shown below.
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""")
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st.markdown(
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"""
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Domain2GO mappings are a set of association predictions between protein domains and Gene Ontology (GO) terms. This tool provides a user-friendly interface to predict protein functions by propagating Domain2GO mappings to query proteins that are annotated with those domains. This operation is shown in panel (F) of the figure below.
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Domain2GO is developed with the aim of identifying unknown protein functions by associating domains with Gene Ontology terms, thus defining the problem as domain function prediction. Domain2GO mappings are generated using the existing domain and GO annotation data. In order to obtain highly reliable associations, we employed statistical resampling and analyzed the co-occurrence patterns of domains and GO terms on the same proteins.
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Ulusoy, E., & Dogan, T. (2022). Mutual Annotation-Based Prediction of Protein Domain Functions with Domain2GO. *bioRxiv*, 514980v1. [Link](https://www.biorxiv.org/content/10.1101/2022.11.03.514980v1)
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Overall workflow of Domain2GO is shown below.
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""")
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pages/User_Guide.py
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st.markdown(
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'''
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After submitting your protein sequence, Domain2GO will run InterProScan to find domains in your protein. This step may take a few minutes to complete. After domains are found, Domain2GO will predict functions of your protein by
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''')
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st.markdown('<p style="font-size:20px; font-weight:bold">3. View your results</p>', unsafe_allow_html=True)
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st.markdown(
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'''
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After submitting your protein sequence, Domain2GO will run InterProScan to find domains in your protein. This step may take a few minutes to complete. After domains are found, Domain2GO will predict functions of your protein by assigning functions that are associated with these domains in the Domain2GO mapping set.
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''')
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st.markdown('<p style="font-size:20px; font-weight:bold">3. View your results</p>', unsafe_allow_html=True)
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