Package: augere.solo
Version: 0.99.3
Date: 2026-04-11
Title: Automatic Generation of Single-Cell Analyses
Description: 
    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.
Authors@R: person("Aaron", "Lun", role=c("cre", "aut"), email="infinite.monkeys.with.keyboards@gmail.com", comment=c(ORCID="0000-0002-3564-4813"))
License: MIT + file LICENSE
Imports: augere.core, scrapper, scater
Suggests: testthat, knitr, rmarkdown, BiocStyle, BiocGenerics,
        S4Vectors, IRanges, GenomicRanges, SummarizedExperiment,
        SingleCellExperiment, scRNAseq, SingleR, celldex, jsonlite
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Encoding: UTF-8
URL: https://github.com/augere-bioinfo/augere.solo
BugReports: https://github.com/augere-bioinfo/augere.solo/issues
biocViews: WorkflowManagement, ReportWriting, SingleCell
git_url: https://git.bioconductor.org/packages/augere.solo
git_branch: devel
git_last_commit: 51e31e9
git_last_commit_date: 2026-05-14
Repository: Bioconductor 3.24
Date/Publication: 2026-05-18
NeedsCompilation: no
Packaged: 2026-05-18 21:17:06 UTC; biocbuild
Author: Aaron Lun [cre, aut] (ORCID: <https://orcid.org/0000-0002-3564-4813>)
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 4.6.0; ; 2026-05-19 04:42:34 UTC; unix
