sktrinh12 / 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.

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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.

About

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.

License:MIT License


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