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: 1.9.7
Depends: ggplot2
Imports: readr, DT, InteractionSet, BiocManager, tidyr, S4Vectors, circlize, igraph, visNetwork, reshape2, magrittr, htmltools, htmlwidgets, jointseg, plotly, shinyjs, logging, shiny, RCurl, foreach, GenomicFeatures, GenomicInteractions, HiCseg, IRanges, Matrix, OpenImageR, biomaRt, blockseg, heatmaply, matrixStats, shinythemes, shinycssloaders, spatialfil, ComplexHeatmap, GenomicRanges, plyr, data.table, rslurm, dplyr, numbers, rtracklayer, BSgenome.Hsapiens.UCSC.hg19, doParallel
Suggests: knitr, rmarkdown
Published: 2018-10-20
Author: James Dalgeish, Yonghong Wang, Jack Zhu, Paul Meltzer
Maintainer: James Dalgleish <james.dalgleish at nih.gov>
BugReports: https://github.com/jamesdalg/CNVScope/issues/
License: BSD_3_clause + file LICENSE
URL: https://github.com/jamesdalg/CNVScope/
NeedsCompilation: no
CRAN checks: CNVScope results

Downloads:

Reference manual: CNVScope.pdf
Vignettes: Creating the Input matrix from public data
Linear Regression/Postprocess
Package source: CNVScope_1.9.7.tar.gz
Windows binaries: r-devel: CNVScope_1.9.7.zip, r-release: CNVScope_1.9.7.zip, r-oldrel: CNVScope_1.9.7.zip
OS X binaries: r-release: not available, r-oldrel: not available

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