quantitative PCR analysis in the tidyverse

Auto-analysis for Real-Time PCR (qPCR) data

OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.

Quality assessing, analyzing and testing the statistical significance of real-time quantitative PCR data

Molecular biology visualization tools for Shiny apps

This repository contains scripts and data for training and utilizing machine learning classifiers to predict qPCR cross-amplification.

Technical data sets by Ruijter et al. (2013)

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

Biomarker data set by Vermeulen et al. (2009)

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

便于qPCR数据快速处理的R shiny构建的软件 (Software built with R shiny for quick processing of qPCR data)

R package for importing qPCR data from StepOne™ Software

Shiny app to analyze qPCR data

R package for designing miRNA primers.

rtpcr: a package for statistical analysis and graphical display of real-time PCR data in R

Real-Time PCR Data Sets by Batsch et al. (2008)

EffFinder is an R package, for detecting the Normalization efficiencies of single reference gene (RGs) and multi-RG combinations

Scripts for "Wheat NAC transcription factor NAC5-1 is a positive regulator of senescence" including DAP-seq analysis

Real-Time PCR Data Sets by Sisti et al. (2010)

Preliminary tabulation of real-time PCR data for malarial mosquitoes