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 |
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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 |
Documentation:
Downloads:
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