qpcr-analysis

quantitative PCR analysis in the tidyverse

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

This pipeline is designed to identify the most stable genes in one or more expression datasets (RNA-seq / Microarray). The ideal use case is for determining the most suitable RT-qPCR reference genes for a given species.

A gentle introduction to data analysis in R

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

R package for accurate, efficiency-corrected quantification of original DNA template with qPCR

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.

An R-package for daily tasks required to handle biological data as well as avoid re-coding of small functions for quick but necessary data management.

Shiny app to analyze qPCR data

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

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

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

understanding endophyte/plant relationships

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

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