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dinamic

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. The dinamic R package was designed to assess the statistical significance of recurrent DNA copy number aberrations using the cyclic shift permutation scheme.

Example

Please refer to the vignette.

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Version

Install

install.packages('dinamic')

Monthly Downloads

118

Version

1.0.1

License

GPL-3

Maintainer

Vonn Walter

Last Published

March 15th, 2024

Functions in dinamic (1.0.1)

detailedLook

Assessing the Significance of Recurrent DNA Copy Number Aberrations
quickLook

Find DiNAMIC's null distribution
wilms.data

DNA copy number data from Wilms' tumor
makeCytoband

Find the chromosome arm for each marker
recodeBinary

Recode binary vectors
peeling

Apply the peeling procedure at a given marker
annot.file

Cytoband annotation data frame
wilms.markers

Array comparative genomic hybridization marker data