README.md

In soohyuna/tidyQ: This package identifies fold change of gene expression compare to control from ThermoFisher StepOne or QuantStudio qPCR machines

tidyQ - analyze RT-qPCR data with tidyverse and ggplot.

tidyQ is a package developed by PhDs from Michigan State University in the Cell and Molecular Biology program to streamline the analysis of real-time quantitative polymerase chain reaction (RT-qPCR) data gathered from ThermoFisher StepOnePlus RT-PCR or QuantStudio5 RT-PCR machines using delta-delta CT method.

This package streamlines importing of your RAW data .xlsx file from the machine to generating Fold change based on the reference gene (i.e. GAPDH), and endogenous control (i.e. non-treated).

Package Pipeline:

1. Import .xls and/or .xlsx files using importQ()
2. Average CT values of triplicate technical replications using avgQ()
3. Clean up data file into tidy format using cleanQ()
4. Calculate delta CT using deltaQ()
5. Calculate fold change using ddQ(). (optional step: calculate log2FC using mutate)
6. Plot your data using ggplot.

Website

https://soohyuna.github.io/tidyQ/

soohyuna/tidyQ documentation built on Sept. 10, 2020, 4:27 a.m.