documentation started

app.py

@@ -2,6 +2,7 @@ import os
 import tiger
 import pandas as pd
 import streamlit as st
+from pathlib import Path
 
 ENTRY_METHODS = dict(
     manual='Manual entry of single transcript',
@@ -98,6 +99,8 @@ if __name__ == '__main__':
 
     # title and documentation
     st.title('TIGER Cas13 Efficacy Prediction')
+    st.markdown(Path('tiger.md').read_text())
+    st.divider()
 
     # mode selection
     col1, col2 = st.columns([0.65, 0.35])

tiger.md

@@ -0,0 +1,3 @@
+
+
+Wessels, H.-H., Stirn, A., Méndez-Mancilla, A., Kim, E. J., Hart, S. K., Knowles, D. A., & Sanjana, N. E. (2023). Prediction of on-target and off-target activity of CRISPR–Cas13d guide RNAs using deep learning. Nature Biotechnology. https://doi.org/10.1038/s41587-023-01830-8