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scafari

This is the released version of scafari; for the devel version, see scafari.

All versions 3.24 (devel), 3.23 (release), 3.22

Analysis of scDNA-seq data


Bioconductor version: Release (3.23)

Scafari is a Shiny application designed for the analysis of single-cell DNA sequencing (scDNA-seq) data provided in .h5 file format. The analysis process is structured into the four key steps "Sequencing", "Panel", "Variants", and "Explore Variants". It supports various analyses and visualizations.

Author: Sophie Wind [aut, cre] ORCID iD ORCID: 0009-0002-1174-8201

Maintainer: Sophie Wind <sophie.wind at uni-muenster.de>

Citation (from within R, enter citation("scafari")):

Sophie Wind. scafari: Analysis of scDNA-seq data. doi:10.18129/B9.bioc.scafari, R package version 1.2.0, https://bioconductor.org/packages/scafari.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scafari")

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("scafari")
scafari_vignette HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Sequencing, ShinyApps, SingleCell, Software
Version1.2.0
In Bioconductor sinceBioC 3.22 (R-4.5) (1 year)
License LGPL-3
Depends R (>= 4.5.0)
Imports magrittr, shiny, shinycssloaders, DT, dplyr, waiter, ggplot2, tibble, stringr, reshape2, shinyjs, shinyBS, shinycustomloader, factoextra, markdown, plotly, ggbio, GenomicRanges, rhdf5, ComplexHeatmap, biomaRt, org.Hs.eg.db, SummarizedExperiment, SingleCellExperiment, S4Vectors, parallel, httr, jsonlite, scales, tidyr, txdbmaker, circlize, R.utils, dbscan, igraph, RANN
System Requirements
URLhttps://github.com/sophiewind/scafari
Bug Reportshttps://github.com/sophiewind/scafari/issues
See More
Suggests knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package scafari_1.2.0.tar.gz
Windows Binary (x86_64) scafari_1.2.0.zip
macOS Binary (big-sur-x86_64) scafari_1.2.0.tgz
macOS Binary (sonoma-arm64) scafari_1.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scafari
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scafari
Package Short Url https://bioconductor.org/packages/scafari/
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