qpcrNorm (version 1.30.0)

Data-driven normalization strategies for high-throughput qPCR data.

Description

The package contains functions to perform normalization of high-throughput qPCR data. Basic functions for processing raw Ct data plus functions to generate diagnostic plots are also available.

Copy Link

Version

1.30.0

License

LGPL (>= 2)

Maintainer

Jessica Mar

Last Published

February 15th, 2017

Functions in qpcrNorm (1.30.0)

normQpcrRankInvariant

Function for Rank-Invariant Set Normalization for qPCR Data.

readQpcrBatch

Data Input Function for a Batch of qPCR Experiments.

calcCV

Calculates the Average Gene-Specific Coefficient of Variation

ctQc

Quality Control Filter for Replicate Ct Values

plotVarMean

Constructs scatter plot to compare the effects of two normalization algorithms on a qPCR dataset.

writeQpcr

Writes qpcrBatch object out to a File.

readQpcr

Data Input Function for a Single qPCR Experiment.

normQpcrQuantile

Function for Quantile Normalization of qPCR Data.

qpcrBatch-class

Class qpcrBatch

normQpcrHouseKeepingGenes

Function for Housekeeping Gene Normalization of qPCR Data.

qpcrBatch.object

qpcrBatch instance qpcrBatch.object

matrixByPlate

Internal function to reorganize qPCR data into a rectangular structure.