wellcompare 1.0.2.dev1

A package for doing a well to well analysis of 96 well plates run in an Epoch2 microplate reader

GarciaLab

Info-

Code developed for research on modeling prion growth dynamics in budding yeast. This package is used to compare two 96 well plates well by well, for example comparing A1 of one plate to A1 or another plate, and so on. This code generates graphs, heatmaps, and sumarries of your data, while also performing some basic statistics.

Usage -

Begin by creating a directory for your screen (Ex. "Screen1"). Inside of your screen directory, create another folder called 'Data' and put the excel file produce from the Epoch2 plate reader inside. Then, from the RME_Screen directory, run the file graph.py ($ python graph.py) on the terminal.

Requirements -

Also outlined in requirements.txt:

1. Python3
2. Pip3
3. Pandas
4. Numpy
5. Maplotlib
6. Scipy
7. Seaborn
8. ArgParse
9. xlrd

Setup -

Clone Repo:

1. $ git clone https://github.com/jacobian0208/well_compare.git
2. $ pip install -r requirements.txt
3. $ python -m wellcompare [options]

-- OR -- Download Package: coming soon...

Files & Directories -

1. graph.py : module to graph cleaned data
2. extract.py : module to extract and clean data from Epoch2 microplate reader output
3. combine.py : module to combine and further clean extracted data
4. main.py : main file to run package as script
5. requirements.txt : a list of required packages to install to run this program correctly
6. LICENSE : an MIT license to allow use of this program