/molar-hackathon

Use of Molar chemistry database API to create a GUI interface in an attempt to help scientists save experimental data easier. The public dataset was borrowed from Nanostring that includes GeoMx Digital Spatial Profiler for tissue analysis. Part of a hackathon hosted by Acceleration Consortium.

Primary LanguagePythonMIT LicenseMIT

Thousands of Genes

This is a project for the Acceleration Consortium Hackaton, hosted by the University of Toronto

It consist of a streamlit web app that makes use of Molar chemistry database API to create a GUI interface in an attempt to help scientists save experimental data easier. The public dataset was borrowed from Nanostring that includes GeoMx Digital Spatial Profiler for tissue analysis. Part of a hackathon hosted by Acceleration Consortium.

To use this you need MOLAR, streamlit, pandas and plotly. To install you can do the following:

pip instal streamlit pandas plotly molar
streamlit run app.py

The main contributors to this code are

This code is provided as is under an MIT licence.