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augere.solo

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

Automatic Generation of Single-Cell Analyses


Bioconductor version: Development (3.24)

Implements pipelines for generating single-cell analysis reports in the augere framework. This uses scrapper to execute routine steps such as quality control, normalization, feature selection, clustering and marker detection. We also implement a pipeline for automatic cell type annotation against a labelled reference with SingleR. Each pipeline function generates a self-contained Rmarkdown report with all of the steps required to reproduce its analysis.

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

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

Citation (from within R, enter citation("augere.solo")):

Installation

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


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

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

BiocManager::install("augere.solo")

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("augere.solo")
Simple single-cell analyses HTML R Script
Reference Manual PDF

Details

biocViews ReportWriting, SingleCell, Software, WorkflowManagement
Version 0.99.3
In Bioconductor since BioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends
Imports augere.core, scrapper, scater
System Requirements
URL https://github.com/augere-bioinfo/augere.solo
Bug Reports https://github.com/augere-bioinfo/augere.solo/issues
See More
Suggests testthat, knitr, rmarkdown, BiocStyle, BiocGenerics, S4Vectors, IRanges, GenomicRanges, SummarizedExperiment, SingleCellExperiment, scRNAseq, SingleR, celldex, jsonlite
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
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Build Report Build Report

Package Archives

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

Source Package augere.solo_0.99.3.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/augere.solo
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/augere.solo
Bioc Package Browser https://code.bioconductor.org/browse/augere.solo/
Package Short Url https://bioconductor.org/packages/augere.solo/
Package Downloads Report Download Stats