Code for design of diagnostic PCR primers, and metabarcoding markers.
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Updated
Nov 7, 2023 - Python
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.
Quality assessing, analyzing and testing the statistical significance of real-time quantitative PCR data
Design degenerated primers on highly variable alignments for full genome sequencing or qPCR. Specifically developed for viruses.
A python package to analyse qPCR data for single-use or high-throughput application
Takes excel file output from qPCR (Quantstudio3, ABI) and sample labels. Optionally analyzes standard curves and plots CT, Tms and absolute copies
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.
R package for designing miRNA primers.
rdml: Mathematica package for Real-Time qPCR data
Biomarker data set by Vermeulen et al. (2009)
Modeling of primers/probes hybridization on to a set of target viral sequences.
Bioinformatics CNV Detection with Random Forest Model
This repository contains scripts and data for training and utilizing machine learning classifiers to predict qPCR cross-amplification.
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.
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