CNVScope: A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization (original) (raw)

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: 3.7.2
Depends: R (≥ 4.1.0), ggplot2
Imports: tidyr, reshape2, magrittr, jointseg, shiny, RCurl, foreach, GenomicInteractions, Matrix, OpenImageR, biomaRt, matrixStats, plyr, data.table, dplyr, doParallel, stringr, rtracklayer, Hmisc
Suggests: knitr, remotes, pwr, ComplexHeatmap, rmarkdown, HiCseg, igraph, visNetwork, circlize, plotly, InteractionSet, GenomicRanges, GenomicFeatures, IRanges, rslurm, shinythemes, shinycssloaders, DT, logging, heatmaply, S4Vectors, BiocManager, shinyjs, htmltools, htmlwidgets, GenomeInfoDb, BSgenome.Hsapiens.UCSC.hg19, tibble, smoothie
Published: 2022-03-30
DOI: 10.32614/CRAN.package.CNVScope
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
URL: https://github.com/jamesdalg/CNVScope/
NeedsCompilation: no
Materials: NEWS
CRAN checks: CNVScope results

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