Determines the baseline by reconstructing the loglinear phase downward from the early plateau phase of the polymerase chain reaction (PCR). LinRegPCR is designed for improving reproducible PCR efficiency values. It requires a sufficiently large baseline-to-plateau ratio as well as a low observation noise. This tool identifies the variables of interest and enables the analysis of the significance of unknown variables affecting the analysis.
Calls the genotypes of single nucleotide polymorphisms (SNP) from TaqMan allelic discrimination assays. SNPman utilizes the fluorescence data collected over the whole polymerase chain reaction (PCR) run, rather than relying on the end point fluorescence measurements that is the basis of the genotype calling process in most software solutions sold with the real-time instruments. It works with data from three different widely used PCR instruments.
Allows users to predict a number of latent dimensions. GrandPrix assists users in analyzing the single-cell data. This permits researchers to examine the temporal dynamics of complex biological processes where the generation of time course experiments is technically impossible. This approach can reveal interesting biological facts such as identifying branching points in the differentiation pathways.
Contains functions to perform normalization of high-throughput qPCR data. qpcrNorm calculates the coefficient of variation for each gene in the qPCR experiment, and returns the average coefficient of variation across all genes. This software offers two data-driven normalization methods that directly correct for technical variation and represent robust alternatives to standard housekeeping gene-based approaches.
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