README.md

Protein Analysis Application

Protein analysis application written for Gong Lab at UC Davis.

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Contact

About The Project

This project is built in python to read Excel Sheets with protein data and graph them using p-values, t-tests, and more features soon to be made. The purpose is to compare data of proteins found within non-covid vs covid patients who have shown to have olfactory loss.

Built With

• 

Getting Started

To use our program follow the steps below.

Prerequisites

You will have to install a few packages used within the code, if you haven't already.

• np

  pip install np

• openpxyl

  pip install openpxyl

• tkinter.filedialog

  pip install tkinter

• statistics

  pip install statistics

• matplotlib

  pip install matplotlib

  • scipy

  pip install scipy

  • pandas

  pip install pandas

  • plotly

  pip install plotly

• dash

  pip install dash

Installation

1. Download Python [https://www.python.org/downloads/]
2. Clone the repo, download the zip file, or copy & paste our main code

   git clone https://github.com/AnthonyWeidner/ProteinAnalysisApplication.git

3. Install packages
4. Run the code on any platform compatible with python.

Usage

Find images of graphs made here.

Contact

Anthony Weidner - alweidner@ucdavis.edu

Maggie Chen - mxqchen@ucdavis.edu

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