bioc-issue-bot
commented
4 years ago Hi @gonzolgarcia
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: svpluscnv
Title: svpluscnv: analysis and visualization of complex structural variation data
Version: 0.99.1
Author:
person("Gonzalo", "Lopez",
role = c("aut", "cre"),
email = "gonzolgarcia@gmail.com",
comment = c(ORCID = "0000-0002-5092-1284"))
person("Laura", "Egolf",
role = c("aut"),
email = "laura.e.egolf@gmail.com",
comment = c(ORCID = "0000-0002-7103-4801"))
person("Federico", "Giorgi",
role = c("ctb"),
email = "federico.giorgi@gmail.com",
comment = c(ORCID = "0000-0002-7325-9908"))
Maintainer:
Gonzao Lopez <gonzolgarcia@gmail.com>
Description: svpluscnv R package is a "swiss army knife"" for the integration and interpretation of orthogonal datasets including copy number variant (CNV) segmentation profiles and sequencing-based structural variant calls (SVC). The package implements analysis and visualization tools to evaluate chromosomal instability and ploidy, identify genes harboring recurrent SVs and systematically characterize hot-spot genomic locations harboring complex rearrangements such as chromothripsis and chromoplexia.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
biocViews: StructuralVariation, VariantAnnotation, CopyNumberVariation, Sequencing, GenomicVariation
Depends: R (>= 3.6)
Imports: IRanges, GenomicRanges, tidyr, data.table, circlize, D3GB, shape, org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Hsapiens.UCSC.hg38.knownGene, methods, stats, graphics, utils, grDevices, taRifx, S4Vectors, AnnotationDbi,GenomicAlignments,GenomicFeatures,scales
Suggests:
BiocStyle,
knitr,
rmarkdown
Collate:
validate.input.data.r internal_functions.r break.annot.r breakpoint.density.r shattered.regions.r chr.arm.cnv.r segment.means.r circular.plot.r cnv.freq.plot.r clean.cnv.artifact.r freq.p.test.r gene.cnv.r gene.track.view.r get.genesgr.r hot.spot.samples.R pct.genome.changed.r shattered.map.plot.r shattered.regions.cnv.r sv.model.view.r svpluscnv.data.r
VignetteBuilder: knitr
git_url: https://github.com/ccbiolab/svpluscnv
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mtmorgan
gonzolgarcia
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