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scrapbook

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

All versions 3.24 (devel), 3.23 (release)

Single-cell RNA-seq analyses with scrapper


Bioconductor version: Release (3.23)

Demonstrates some basic analysis of single-cell RNA-seq data with scrapper. This includes quality control, normalization, feature selection, various forms of dimensionality reduction, clustering into subpopulations, and detection of marker genes. It is intended for users who already have some familiarity with R and want to get hands-on with some basic single-cell analyses.

Author: Aaron Lun [aut, cre] ORCID iD ORCID: 0000-0002-3564-4813

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>

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

Aaron Lun. scrapbook: Single-cell RNA-seq analyses with scrapper. doi:10.18129/B9.bioc.scrapbook, R package version 1.0.0, https://bioconductor.org/packages/scrapbook.

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("scrapbook")

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("scrapbook")
Book for scrapper HTML
Reference ManualPDF
NEWSText

Details

biocViews SingleCellWorkflow, Software, Workflow
Version1.0.0
In Bioconductor sinceBioC 3.23 (R-4.6) (< 6 months)
License MIT + file LICENSE
Depends AnnotationHub, BiocStyle, bluster, cluster, DropletTestFiles, DropletUtils, dynamicTreeCut, edgeR, ggplot2, gridExtra, msigdbr, pheatmap, scater, scrapper, scRNAseq, TENxPBMCData
Imports
System Requirements
URLhttps://github.com/libscran/scrapbook
Bug Reportshttps://github.com/libscran/scrapbook/issues
See More
Suggests rmarkdown, bookdown, knitr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/scrapbook
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scrapbook
Package Short Url https://bioconductor.org/packages/scrapbook/
Package Downloads ReportDownload Stats