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Slingshot

Functions for identifying and characterizing continuous developmental trajectories in single-cell data.

Install / Use

/learn @kstreet13/Slingshot
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

R package: slingshot

R build status Coverage Status

<img src=inst/slingshot_sticker.png height="200">

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 (!requireNamespace("BiocManager", quietly=TRUE))
    install.packages("BiocManager")
BiocManager::install("kstreet13/slingshot")

Python Version

An implementation of the Slingshot algorithm in python can be found here: https://github.com/mossjacob/pyslingshot

Issues and bug reports

Please use https://github.com/kstreet13/slingshot/issues to submit issues, bug reports, and comments.

View on GitHub
GitHub Stars327
CategoryDevelopment
Updated2d ago
Forks49

Languages

R

Security Score

80/100

Audited on Mar 27, 2026

No findings