R package to work with qPCR quantification of (bulk) aneuploidies.
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Updated
Apr 15, 2025 - R
R package to work with qPCR quantification of (bulk) aneuploidies.
R Package to analyze and plot RT-qPCR data from QuantStudio software.
qPCR-calculate with UI created by streamlit and hosted on streamlit cloud service.
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.
Repo for testing qPCR assays by downloading genomes and in-silico PCR.
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.
qPCR Plate Planner is a browser based tool to streamline the design, execution, and analysis of qPCR experiments. It is particularly suited for chromatin profiling workflows such as CUT&RUN, CUT&Tag, and ChIP-qPCR, where comparative epigenetic mark enrichment is quantified using the ΔΔCt method
Process qPCR data to evaluate the consistency and reliability of Ct values across technical triplicates.
Calculation of SARS viral particles present in qPCR'd wastewater sample
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 accomodating research for DMAS-qPCR study
InterOpt: Improved gene expression quantification in qPCR experiments using weighted aggregation of reference genes
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.
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.
A gentle introduction to data analysis in R
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