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Bioconductor 3.22 Released

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scafari

This is thereleased version of scafari; for the devel version, seescafari.

Analysis of scDNA-seq data

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DOI: 10.18129/B9.bioc.scafari


Bioconductor version: Release (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, entercitation("scafari")):

Installation

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

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("scafari")
scafari_vignetteHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsSequencing,ShinyApps,SingleCell,Software
Version1.0.0
In Bioconductor sinceBioC 3.22 (R-4.5) (< 6 months)
LicenseLGPL-3
DependsR (>= 4.5.0)
Importsmagrittr,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
Suggestsknitr,rmarkdown,BiocStyle,testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagescafari_1.0.0.tar.gz
Windows Binary (x86_64) scafari_1.0.0.zip
macOS Binary (x86_64)scafari_1.0.0.tgz
macOS Binary (arm64)scafari_1.0.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scafari
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scafari
Bioc Package Browserhttps://code.bioconductor.org/browse/scafari/
Package Short Urlhttps://bioconductor.org/packages/scafari/
Package Downloads ReportDownload Stats

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