quantitative PCR analysis in the tidyverse

A python package to analyse qPCR data for single-use or high-throughput application

A gentle introduction to data analysis in R

Pipeline dedicated to finding the most stable genes among a single or multiple expression dataset(s). It is useful in particular for finding the most suitable RT-qPCR reference genes for a specific species.

Qupid (Quantitative PCR Interface to Delta-Delta-Ct) - a versatile web-application for swift Delta-Delta-Ct analysis of qPCR data

Biomarker data set by Vermeulen et al. (2009)

An easy way to normalize CT values to Internal controls as well as housekeeping genes and download as heatmap.

R Package accomodating research for DMAS-qPCR study

InterOpt: Improved gene expression quantification in qPCR experiments using weighted aggregation of reference genes

Calculation of SARS viral particles present in qPCR'd wastewater sample

Shiny app to analyze qPCR data

Created primarily to process qPCR Cq data for graphical output. However, the functions included is generic and good for other use. This package includes functions to calculate the fold change using either ddCt method or Paffl method, and function to calculate SEM and check outliers in a given dataset.

R package for the analysis and visualization of RT-qPCR data.

R package to work with qPCR quantification of (bulk) aneuploidies.

qPCR-calculate with UI created by streamlit and hosted on streamlit cloud service.

Python script for qPCR analytic validation using Cq values of standard dilutions and technical replicates.

R Package to analyze and plot RT-qPCR data from QuantStudio software.

Function for the analysis of qPCR data

Repo for testing qPCR assays by downloading genomes and in-silico PCR.

Process qPCR data to evaluate the consistency and reliability of Ct values across technical triplicates.