kallisto, bustools and kb-python for quantifying bulk, single-cell and single-nucleus RNA-seq.

IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Delaney K Sullivan, Kyung Hoi Joseph Min, Kristján Eldjárn Hjörleifsson, Laura Luebbert, Guillaume Holley, Lambda Moses, Johan Gustafsson, Nicolas L Bray, Harold Pimentel, A Sina Booeshaghi, Páll Melsted, Lior Pachter
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引用次数: 0

Abstract

The term 'RNA-seq' refers to a collection of assays based on sequencing experiments that involve quantifying RNA species from bulk tissue, single cells or single nuclei. The kallisto, bustools and kb-python programs are free, open-source software tools for performing this analysis that together can produce gene expression quantification from raw sequencing reads. The quantifications can be individualized for multiple cells, multiple samples or both. Additionally, these tools allow gene expression values to be classified as originating from nascent RNA species or mature RNA species, making this workflow amenable to both cell-based and nucleus-based assays. This protocol describes in detail how to use kallisto and bustools in conjunction with a wrapper, kb-python, to preprocess RNA-seq data. Execution of this protocol requires basic familiarity with a command line environment. With this protocol, quantification of a moderately sized RNA-seq dataset can be completed within minutes.

kallisto、bustools 和 kb-python,用于量化批量、单细胞和单核 RNA-seq。
术语 "RNA-seq "指的是一系列基于测序实验的检测方法,涉及对大块组织、单细胞或单个细胞核中的 RNA 物种进行量化。kallisto、bustools 和 kb-python 程序是用于进行这种分析的免费开源软件工具,它们可以一起从原始测序读数中生成基因表达定量。量化结果可针对多个细胞、多个样本或两者进行个性化处理。此外,这些工具还可将基因表达值分为来自新生 RNA 物种或成熟 RNA 物种,从而使这一工作流程既适用于基于细胞的检测,也适用于基于细胞核的检测。本方案详细介绍了如何使用 kallisto 和 bustools 以及包装器 kb-python,对 RNA-seq 数据进行预处理。执行该协议需要基本熟悉命令行环境。使用本方案,中等大小的 RNA-seq 数据集的定量分析可在几分钟内完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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