import streamlit as st st.set_page_config(layout="wide") import pandas as pd import numpy as np from zipfile import ZipFile import plotly.express as px import plotly.graph_objs as go LLR_FILE='ALL_hum_isoforms_ESM1b_LLR.zip' with ZipFile(LLR_FILE) as myzip: uids=[i.split('/')[-1].split('_')[0] for i in myzip.namelist()][1:] df=pd.read_csv('isoform_list.csv',index_col=0) def load_LLR(uniprot_id): '''Loads the LLRs for a given uniprot id. Returns a 20xL dataframe rows are indexed by AA change, (AAorder=['K','R','H','E','D','N','Q','T','S','C','G','A','V','L','I','M','P','Y','F','W']) columns indexed by WT_AA+position e.g, "G 12" Usage example: load_LLR('P01116') or load_LLR('P01116-2')''' with ZipFile(LLR_FILE) as myzip: data = myzip.open(myzip.namelist()[0]+uniprot_id+'_LLR.csv') return pd.read_csv(data,index_col=0) def plot_interactive(uniprot_id): primaryLLR = load_LLR(uniprot_id) template='plotly_white' fig = px.imshow(primaryLLR.values, x=primaryLLR.columns, y=primaryLLR.index, color_continuous_scale='Viridis_r',zmax=0,zmin=-20, labels=dict(y="Amino acid change", x="Protein sequence", color="LLR"), template=template, title='uniprot_id: '+uniprot_id) fig.update_xaxes(tickangle=-90,range=[0,99],rangeslider=dict(visible=True),dtick=1) fig.update_yaxes(dtick=1) fig.update_layout({ 'plot_bgcolor': 'rgba(0, 0, 0, 0)', 'paper_bgcolor': 'rgba(0, 0, 0, 0)', },font={'family':'Arial','size':11}, hoverlabel=dict(font=dict(family='Arial', size=14))) fig.update_traces( hovertemplate="
".join([ "%{x} %{y}"+ " (%{z:.2f})", ])+'' ) return fig selection = st.selectbox("uniprot_id:", df) uid=df[df.txt==selection].index.values[0] fig = plot_interactive(uid) fig.update_layout(width = 800, height = 600, autosize = False) st.plotly_chart(fig, use_container_width=True)