Data processing for qPCR.
- Load qPCR file by change the file name in the script.
- Simple and easy to use, change the variables in cell 2 and get the result ready for Prism.
- Jupyter Notebook
- Python 3.6+
For anyone not familiar with python and jupyter notebook, please download Anaconda here:
https://www.anaconda.com/products/individual-dSimply change the variables in cell 2.
Set folder as where your qPCR result saved at;
Set file same as the qPCR result file, don't forget ".csv";
Set gene1-gene4 as how many rows are the gene loaded on qPCR plate, i.e. when gene1 have row "A to D", gene1 = 4;
If need si control, set si as Ture, otherwise false;
Input UR as the delta Ct value, like [gene1 UR, gene2 UR, gene3 UR];
Input hRPL19 Cq average value in cq_avg.
For any problem and new feature request, feel free to new a issue on Github or contact me at nz2343@columbia.edu