Code for design of diagnostic PCR primers, and metabarcoding markers.

The SpeciesPrimer pipeline is intended to help researchers finding specific primer pairs for the detection and quantification of bacterial species in complex ecosystems.

quantitative PCR analysis in the tidyverse

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

Design degenerated primers on highly variable alignments for full genome sequencing or qPCR. Specifically developed for viruses.

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

RDML data import for R

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

R package for importing qPCR data from StepOne™ Software

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.

Takes excel file output from qPCR (Quantstudio3, ABI) and sample labels. Optionally analyzes standard curves and plots CT, Tms and absolute copies

R package for designing miRNA primers.

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

rdml: Mathematica package for Real-Time qPCR data

Modeling of primers/probes hybridization on to a set of target viral sequences.

Biomarker data set by Vermeulen et al. (2009)

Bioinformatics CNV Detection with Random Forest Model

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.

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

Automatically exported from code.google.com/p/lreqpcr