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Bioconductor - scrapper

scrapper

This is the released version of scrapper; for the devel version, see scrapper.

Bindings to C++ Libraries for Single-Cell Analysis

Bioconductor version: Release (3.21)

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")

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 1.2.1 In Bioconductor since BioC 3.20 (R-4.4) (0.5 years) License MIT + file LICENSE Depends Imports methods, Rcpp, beachmat(>= 2.21.6), 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, beachmat, BiocNeighbors Enhances Depends On Me Imports Me Suggests Me 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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