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Bioconductor - scrapper (development version)

scrapper

This is the development version of scrapper; for the stable release version, see scrapper.

Bindings to C++ Libraries for Single-Cell Analysis

Bioconductor version: Development (3.22)

Implements R bindings to C++ code for analyzing single-cell (expression) data, mostly from various libscran libraries. Each function performs an individual step in the single-cell analysis workflow, ranging from quality control to clustering and marker detection. It is mostly intended for other Bioconductor package developers to build more user-friendly end-to-end workflows.

Author: Aaron Lun [cre, aut]

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

Citation (from within R, enter citation("scrapper")): Installation

To install this package, start R (version "4.5") and enter:


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

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

BiocManager::install("scrapper")

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("scrapper")
Details biocViews BatchEffect, Clustering, DifferentialExpression, FeatureExtraction, GeneExpression, Normalization, PrincipalComponent, QualityControl, RNASeq, SingleCell, Software, Transcriptomics Version 1.3.6 In Bioconductor since BioC 3.20 (R-4.4) (1 year) License MIT + file LICENSE Depends Imports methods, Rcpp, beachmat(>= 2.25.1), DelayedArray, BiocNeighbors(>= 1.99.0), Rigraphlib, parallel System Requirements C++17, GNU make URL See More Suggests testthat, knitr, rmarkdown, BiocStyle, MatrixGenerics, sparseMatrixStats, Matrix, S4Vectors, SummarizedExperiment, SingleCellExperiment, scRNAseq, igraph Linking To Rcpp, assorthead(>= 1.3.5), beachmat, BiocNeighbors Enhances Depends On Me Imports Me Suggests Me Coralysis, SingleR Links To Me Build Report Build Report Package Archives

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

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