sigvar
This is the development version of sigvar; to use it, please install the devel version of Bioconductor.
Quantify and visualize variability of mutational signatures within and across samples
Bioconductor version: Development (3.24)
This package allows users to import mutational signature attribution (a.k.a. exposure) matrices and compute, visualize, and test their variabilities within and across samples.
Author: Maike Morrison [aut]
, Nicolas Alcala [aut, cre]
, Worldwide Cancer Research [fnd] (Grant 24-0106), French Ligue Nationale Contre le Cancer [fnd]
Maintainer: Nicolas Alcala <alcalan at iarc.who.int>
citation("sigvar")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("sigvar")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sigvar")| Tutorial | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | DataImport, DriverMutation, Software, SomaticMutation, StatisticalMethod, StructuralVariation, Visualization, WholeGenome |
| Version | 0.99.8 |
| In Bioconductor since | BioC 3.24 (R-4.6) |
| License | MIT + file LICENSE |
| Depends | R (>= 4.5) |
| Imports | dplyr, readr, ggplot2, rlang, tidyr, stringr, ggh4x, glue, ggtext, ggforce, scales, GenomicFeatures, GenomeInfoDb, BSgenome, Biostrings, rtracklayer, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, lifecycle, withr |
| System Requirements | |
| URL | https://github.com/MaikeMorrison/sigvar |
| Bug Reports | https://github.com/MaikeMorrison/sigvar/issues |
See More
| Suggests | knitr, rmarkdown, testthat (>= 3.0.0), magick, BiocStyle, BSgenome.Hsapiens.UCSC.hg38, PNWColors, cowplot, ggpubr, ggrepel, kableExtra, lsa, patchwork, tidyverse |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | sigvar_0.99.8.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (big-sur-x86_64) | sigvar_0.99.8.tgz |
| macOS Binary (sonoma-arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/sigvar |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/sigvar |
| Bioc Package Browser | https://code.bioconductor.org/browse/sigvar/ |
| Package Short Url | https://bioconductor.org/packages/sigvar/ |
| Package Downloads Report | Download Stats |