chevreulProcess

Tools for managing SingleCellExperiment objects as projects

Bioconductor version: 3.23 · Package version: 1.4.0

Tools for analyzing SingleCellExperiment objects as projects. for input into the chevreulShiny app downstream. Includes functions for analysis of single cell RNA sequencing data. Supported by NIH grants R01CA137124 and R01EY026661 to David Cobrinik.

Installation

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

BiocManager::install("chevreulProcess")

Details

Maintainer	Kevin Stachelek <kevin.stachelek@gmail.com>
Author	Kevin Stachelek [aut, cre] (ORCID: <https://orcid.org/0000-0003-2085-695X>), Bhavana Bhat [aut]
License	MIT + file LICENSE
URL	https://github.com/whtns/chevreulProcess, https://whtns.github.io/chevreulProcess/
Bug Reports	https://github.com/cobriniklab/chevreulProcess/issues
Downloads rank	168
Source branch	RELEASE_3_23
biocViews	Coverage, DataImport, DimensionReduction, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics, Visualization

Documentation

chevreulProcess

Download

Source package

Dependencies

Depends: R (>= 4.5.0), SingleCellExperiment, scater

Imports: batchelor, bluster, circlize, cluster, DBI, dplyr, EnsDb.Hsapiens.v86, ensembldb, fs, GenomicFeatures, glue, megadepth, methods, purrr, RSQLite, S4Vectors, scran, scuttle, stringr, tibble, tidyr, tidyselect, utils

Suggests: BiocStyle, knitr, RefManageR, rmarkdown, testthat (>= 3.0.0)

Reverse dependencies

Depends On Me (2): chevreulPlot, chevreulShiny