CNVScope: A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization

Provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of these CNV interaction maps.

Version: 3.1.8
Depends: R (≥ 3.5.0), ggplot2
Imports: tidyr, reshape2, magrittr, jointseg, plotly, shiny, RCurl, foreach, GenomicInteractions, Matrix, OpenImageR, biomaRt, matrixStats, plyr, data.table, dplyr, numbers, rtracklayer, doParallel, stringr
Suggests: knitr, rmarkdown, remotes, pwr, ComplexHeatmap, spatialfil, HiCseg, igraph, visNetwork, circlize, InteractionSet, GenomicRanges, GenomicFeatures, IRanges, rslurm, shinythemes, shinycssloaders, DT, logging, heatmaply, S4Vectors, BiocManager, shinyjs, htmltools, htmlwidgets, GenomeInfoDb, BSgenome.Hsapiens.UCSC.hg19, tibble
Published: 2020-07-03
Author: James Dalgeish, Yonghong Wang, Jack Zhu, Paul Meltzer
Maintainer: James Dalgleish <james.dalgleish at>
License: BSD_3_clause + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: CNVScope results


Reference manual: CNVScope.pdf
Vignettes: Additional Visualization Examples
Creating the TARGET Input matrix from public data
Linear Regression/Postprocess
Power Analysis
Package source: CNVScope_3.1.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: not available, r-oldrel: not available
Old sources: CNVScope archive


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