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clustifyr:用于自动化单细胞 RNA 测序聚类分类的 R 包。

clustifyr: an R package for automated single-cell RNA sequencing cluster classification.

机构信息

RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora,, CO, 80045, USA.

Department of Biochemistry, University of Colorado Boulder, Boulder, CO, 80303, USA.

出版信息

F1000Res. 2020 Apr 1;9:223. doi: 10.12688/f1000research.22969.2. eCollection 2020.

Abstract

Assignment of cell types from single-cell RNA sequencing (scRNA-seq) data remains a time-consuming and error-prone process. Current packages for identity assignment use limited types of reference data and often have rigid data structure requirements. We developed the clustifyr R package to leverage several external data types, including gene expression profiles to assign likely cell types using data from scRNA-seq, bulk RNA-seq, microarray expression data, or signature gene lists. We benchmark various parameters of a correlation-based approach and implement gene list enrichment methods. clustifyr is a lightweight and effective cell-type assignment tool developed for compatibility with various scRNA-seq analysis workflows. clustifyr is publicly available at https://github.com/rnabioco/clustifyr.

摘要

从单细胞 RNA 测序 (scRNA-seq) 数据中分配细胞类型仍然是一个耗时且容易出错的过程。当前用于身份分配的软件包仅使用有限类型的参考数据,并且通常具有严格的数据结构要求。我们开发了 clustifyr R 包,以利用多种外部数据类型,包括基因表达谱,使用来自 scRNA-seq、批量 RNA-seq、微阵列表达数据或特征基因列表的数据来分配可能的细胞类型。我们对基于相关性方法的各种参数进行基准测试,并实现了基因列表富集方法。clustifyr 是一种轻量级且有效的细胞类型分配工具,专为与各种 scRNA-seq 分析工作流程兼容而开发。clustifyr 可在 https://github.com/rnabioco/clustifyr 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d2a/7383943/c4b2fcf27686/f1000research-9-27827-g0000.jpg

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