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augere.solo

Automatic Generation of Single-Cell Analyses

Bioconductor version: 3.24 · Package version: 0.99.3

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.

Installation

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

BiocManager::install("augere.solo")

Details

MaintainerAaron Lun <infinite.monkeys.with.keyboards@gmail.com>
AuthorAaron Lun [cre, aut] (ORCID: <https://orcid.org/0000-0002-3564-4813>)
LicenseMIT + file LICENSE
URLhttps://github.com/augere-bioinfo/augere.solo
Bug Reportshttps://github.com/augere-bioinfo/augere.solo/issues
Downloads rank65
Source branchdevel
biocViewsReportWriting, SingleCell, Software, WorkflowManagement

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageaugere.solo_0.99.3.tar.gz
Windows binary (x86_64)augere.solo_0.99.3.zip
macOS binary (arm64)augere.solo_0.99.3.tgz
macOS binary (x86_64)augere.solo_0.99.3.tgz
Dependencies

Imports: augere.core, scrapper, scater

Suggests: testthat, knitr, rmarkdown, BiocStyle, BiocGenerics, S4Vectors, IRanges, GenomicRanges, SummarizedExperiment, SingleCellExperiment, scRNAseq, SingleR, celldex, jsonlite