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scafari

This is the development version of scafari; to use it, please install the devel version of Bioconductor.

Analysis of scDNA-seq data


Bioconductor version: Development (3.22)

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")):

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 Manual PDF
NEWS Text

Details

biocViews Sequencing, ShinyApps, SingleCell, Software
Version 0.99.11
In Bioconductor since BioC 3.22 (R-4.5)
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
System Requirements
URL https://github.com/sophiewind/scafari
Bug Reports https://github.com/sophiewind/scafari/issues
See More
Suggests knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0)
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 scafari_0.99.11.tar.gz
Windows Binary (x86_64) scafari_0.99.11.zip
macOS Binary (x86_64) scafari_0.99.11.tgz
macOS Binary (arm64) scafari_0.99.11.tgz
Source Repository git clone https://git.bioconductor.org/packages/scafari
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scafari
Bioc Package Browser https://code.bioconductor.org/browse/scafari/
Package Short Url https://bioconductor.org/packages/scafari/
Package Downloads Report Download Stats