Signac
R toolkit for the analysis of single-cell chromatin data
Install / Use
/learn @stuart-lab/SignacREADME
Signac <img align="right" src="man/figures/logo.svg" style="height:100px;" />
Overview
Signac is a comprehensive R package for the analysis of single-cell chromatin data. Signac includes functions for quality control, normalization, dimension reduction, clustering, differential activity, and more.
Documentation and tutorials can be found at https://stuartlab.org/signac/
Installation
To install the latest release of Signac from CRAN:
setRepositories(ind=1:3) # needed to automatically install Bioconductor dependencies
install.packages("Signac")
To release the latest develop version from GitHub:
if (!requireNamespace("remotes", quietly = TRUE))
install.packages("remotes")
remotes::install_github("stuart-lab/signac", ref = "develop")
Release notes
For a changelog please see the NEWS file, also available on the Signac website.
Contributing
We welcome contributions to the Signac package. Please see the contribution guide for more information.
Getting help
If you encounter a bug or have a feature request, please open an issue.
If you would like to discuss questions related to single-cell analysis, you can open a discussion.
Citing Signac
If you use the Signac package in your work please cite Stuart et al. 2021
@ARTICLE{signac,
title = "Single-cell chromatin state analysis with Signac",
author = "Stuart, Tim and Srivastava, Avi and Madad, Shaista and Lareau,
Caleb A and Satija, Rahul",
journal = "Nat. Methods",
publisher = "Nature Publishing Group",
pages = "1--9",
month = nov,
year = 2021,
url = "https://www.nature.com/articles/s41592-021-01282-5",
language = "en"
}
Related packages
Related Skills
node-connect
342.5kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
85.3kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
342.5kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
342.5kQQBot 富媒体收发能力。使用 <qqmedia> 标签,系统根据文件扩展名自动识别类型(图片/语音/视频/文件)。
