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DiNAMICDuo

DNA copy number changes (gains and losses) are commonly seen in tumor tissue. Some copy number changes provide a selective growth advantage, and these are observed in the same genomic region across multiple samples. These copy number changes are termed recurrent. In contrast, sporadic copy number changes that occur randomly throughout the genome because of underlying genomic instability are less likely to have biological relevance. A number of bioinformatics tools have been developed to identify recurrent copy number alterations in a single cohort. However, to the best of our knowledge, there is no currently available method for identifying recurrent copy number differences between two cohorts. DiNAMICDuo was designed to address this shortcoming.

Example

Please refer to the vignette.

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Version

Install

install.packages('DiNAMIC.Duo')

Monthly Downloads

245

Version

1.0.4

License

GPL-3

Maintainer

Vonn Walter

Last Published

October 15th, 2025

Functions in DiNAMIC.Duo (1.0.4)

pD

Prepped data for DiNAMIC.Duo.
peelingOne

A Function to Apply the Peeling Algorithm in a Single Copy Number Matrix
findNull

Find DiNAMIC's null distribution
dataPrep

Prepare copy number data for downstream analysis
cyclicNullR

Create a cyclic shift-based null distribution for one or two copy number matrices
cyclicShiftColR

Perform the cyclic shift procedure on the columns of a matrix
genomeChrPlot

A Function for Plotting Mean Copy Number Values and Differences Across Multiple Chromosomes
genomePlot

A Function for Plotting Mean Copy Number Values and Differences Across the Genome
peelingOneIterate

A Function to Apply the Peeling Algorithm in a Single Copy Number Matrix
resultsProcess

Processing peeling results
peelingTwo

A Function to Apply the Peeling Algorithm in a Two Copy Number Matrices
peelingTwoIterate

A Function to Apply the Peeling Algorithm for Two Copy Number Matrices
luadSubset

DNA copy number data for lung adenocarcinoma.
luscSubset

DNA copy number data for lung squamous cell carcinoma.