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slingshot

Tools for ordering single-cell sequencing

Bioconductor version: 3.23 · Package version: 2.20.0

Provides functions for inferring continuous, branching lineage structures in low-dimensional data. Slingshot was designed to model developmental trajectories in single-cell RNA sequencing data and serve as a component in an analysis pipeline after dimensionality reduction and clustering. It is flexible enough to handle arbitrarily many branching events and allows for the incorporation of prior knowledge through supervised graph construction.

Installation

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

BiocManager::install("slingshot")

Details

MaintainerKelly Street <street.kelly@gmail.com>
AuthorKelly Street [aut, cre, cph], Davide Risso [aut], Diya Das [aut], Sandrine Dudoit [ths], Koen Van den Berge [ctb], Robrecht Cannoodt [ctb] (ORCID: <https://orcid.org/0000-0003-3641-729X>, github: rcannood)
LicenseArtistic-2.0
Bug Reportshttps://github.com/kstreet13/slingshot/issues
Downloads rank3908
Source branchRELEASE_3_23
biocViewsClustering, DifferentialExpression, GeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcriptomics, Visualization

Documentation

Download

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

Source packageslingshot_2.20.0.tar.gz
Windows binary (x86_64)slingshot_2.20.0.zip
macOS binary (arm64)slingshot_2.20.0.tgz
macOS binary (x86_64)slingshot_2.20.0.tgz
Dependencies

Depends: R (>= 4.0), princurve (>= 2.0.4), stats, TrajectoryUtils

Imports: graphics, grDevices, igraph, matrixStats, methods, S4Vectors, SingleCellExperiment, SummarizedExperiment

Suggests: BiocGenerics, BiocStyle, clusterExperiment, DelayedMatrixStats, knitr, mclust, mgcv, RColorBrewer, rgl, rmarkdown, testthat, uwot, covr

Reverse dependencies

Imports Me (3): condiments, scRNAseqApp, tradeSeq

Suggests Me (4): blase, dandelionR, RaceID, scLANE